flanagan.analysis
Class Stat
java.lang.Object
flanagan.analysis.Stat
public class Stat
- extends java.lang.Object
Field Summary |
static double |
FPMIN
|
Constructor Summary |
Stat()
|
Method Summary |
static double |
beta(double z,
double w)
|
static double |
betaCDF(double alpha,
double beta,
double limit)
|
static double |
betaCDF(double min,
double max,
double alpha,
double beta,
double limit)
|
static double |
betaFunction(double z,
double w)
|
static double |
betaMean(double alpha,
double beta)
|
static double |
betaMean(double min,
double max,
double alpha,
double beta)
|
static double |
betaMode(double alpha,
double beta)
|
static double |
betaMode(double min,
double max,
double alpha,
double beta)
|
static double |
betaPDF(double alpha,
double beta,
double x)
|
static double |
betaPDF(double min,
double max,
double alpha,
double beta,
double x)
|
static double[] |
betaRand(double min,
double max,
double alpha,
double beta,
int n)
|
static double[] |
betaRand(double min,
double max,
double alpha,
double beta,
int n,
long seed)
|
static double[] |
betaRand(double alpha,
double beta,
int n)
|
static double[] |
betaRand(double alpha,
double beta,
int n,
long seed)
|
static double |
betaStandDev(double alpha,
double beta)
|
static double |
betaStandDev(double min,
double max,
double alpha,
double beta)
|
static double |
binomial(double p,
int n,
int k)
|
static double |
binomialCDF(double p,
int n,
int k)
|
static double |
binomialCoeff(int n,
int k)
|
static double |
binomialPDF(double p,
int n,
int k)
|
static double |
binomialProb(double p,
int n,
int k)
|
double[] |
binomialRand(double prob,
int nTrials,
int n)
|
double[] |
binomialRand(double prob,
int nTrials,
int n,
long seed)
|
static double |
chiSquare(double[] observed,
double[] expected,
double[] variance)
|
static double |
chiSquareCDF(double chiSquare,
int nu)
|
static double |
chiSquareFreq(double[] observedFreq,
double[] expectedFreq)
|
static double |
chiSquareFreq(int[] observedFreq,
int[] expectedFreq)
|
static double |
chiSquareMean(int nu)
|
static double |
chiSquareMode(int nu)
|
static double |
chiSquarePDF(double chiSquare,
int nu)
|
static double |
chiSquareProb(double chiSquare,
int nu)
|
static double[] |
chiSquareRand(int nu,
int n)
|
static double[] |
chiSquareRand(int nu,
int n,
long seed)
|
static double |
chiSquareStandDev(int nu)
|
static double |
coefficientOfVariation(double[] array)
|
static float |
coefficientOfVariation(float[] array)
|
static double |
complementaryRegularisedGammaFunction(double a,
double x)
|
static double |
complementaryRegularizedGammaFunction(double a,
double x)
|
static double |
contFract(double a,
double b,
double x)
|
static double |
corrCoeff(double[] xx,
double[] yy)
|
static double |
corrCoeff(double[] x,
double[] y,
double[] w)
|
static float |
corrCoeff(float[] x,
float[] y)
|
static double |
corrCoeff(int[][] freqMatrix)
|
static double |
corrCoeff(int[] x,
int[] y)
|
static double |
corrCoeff(int element00,
int element01,
int element10,
int element11)
|
static double |
corrCoeffPdf(double rCoeff,
int nu)
|
static double |
corrCoeffPDF(double rCoeff,
int nu)
|
static double |
corrCoeffProb(double rCoeff,
int nu)
|
static double |
covariance(double[] xx,
double[] yy)
|
static double |
covariance(double[] xx,
double[] yy,
double[] ww)
|
static float |
covariance(float[] xx,
float[] yy)
|
static double |
covariance(int[] xx,
int[] yy)
|
static double |
covariance(long[] xx,
long[] yy)
|
static double |
engsetLoad(double blockingProbability,
double totalResources,
double numberOfSources)
|
static double |
engsetProbability(double offeredTraffic,
double totalResources,
double numberOfSources)
|
static double |
engsetProbability(double offeredTraffic,
int totalResources,
int numberOfSources)
|
static double |
engsetProbability(double offeredTraffic,
long totalResources,
long numberOfSources)
|
static double |
ensetLoad(double blockingProbability,
int totalResources,
int numberOfSources)
|
static double |
ensetLoad(double blockingProbability,
long totalResources,
long numberOfSources)
|
static double |
erf(double x)
|
static double |
erfc(double x)
|
static double |
erlangBload(double blockingProbability,
double totalResources)
|
static double |
erlangBload(double blockingProbability,
int totalResources)
|
static double |
erlangBload(double blockingProbability,
long totalResources)
|
static double |
erlangBprobability(double totalTraffic,
double totalResources)
|
static double |
erlangBprobability(double totalTraffic,
int totalResources)
|
static double |
erlangBprobability(double totalTraffic,
long totalResources)
|
static double |
erlangCDF(double lambda,
double kay,
double upperLimit)
|
static double |
erlangCDF(double lambda,
int kay,
double upperLimit)
|
static double |
erlangCDF(double lambda,
long kay,
double upperLimit)
|
static double |
erlangCload(double nonZeroDelayProbability,
double totalResources)
|
static double |
erlangCload(double nonZeroDelayProbability,
int totalResources)
|
static double |
erlangCload(double nonZeroDelayProbability,
long totalResources)
|
static double |
erlangCprobability(double totalTraffic,
double totalResources)
|
static double |
erlangCprobability(double totalTraffic,
int totalResources)
|
static double |
erlangCprobability(double totalTraffic,
long totalResources)
|
static double |
erlangMean(double lambda,
double kay)
|
static double |
erlangMean(double lambda,
int kay)
|
static double |
erlangMean(double lambda,
long kay)
|
static double |
erlangMode(double lambda,
double kay)
|
static double |
erlangMode(double lambda,
int kay)
|
static double |
erlangMode(double lambda,
long kay)
|
static double |
erlangMprobability(double totalTraffic,
double totalResources,
double em)
|
static double |
erlangMprobability(double totalTraffic,
int totalResources,
int em)
|
static double |
erlangMprobability(double totalTraffic,
long totalResources,
long em)
|
static double |
erlangPDF(double lambda,
double kay,
double x)
|
static double |
erlangPDF(double lambda,
int kay,
double x)
|
static double |
erlangPDF(double lambda,
long kay,
double x)
|
static double[] |
erlangRand(double lambda,
double kay,
int n)
|
static double[] |
erlangRand(double lambda,
double kay,
int n,
long seed)
|
static double[] |
erlangRand(double lambda,
int kay,
int n)
|
static double[] |
erlangRand(double lambda,
int kay,
int n,
long seed)
|
static double[] |
erlangRand(double lambda,
long kay,
int n)
|
static double[] |
erlangRand(double lambda,
long kay,
int n,
long seed)
|
static double |
erlangStandDev(double lambda,
double kay)
|
static double |
erlangStandDev(double lambda,
int kay)
|
static double |
erlangStandDev(double lambda,
long kay)
|
static double |
exponential(double mu,
double sigma,
double x)
|
static double |
exponentialCDF(double mu,
double sigma,
double upperlimit)
|
static double |
exponentialCDF(double mu,
double sigma,
double lowerlimit,
double upperlimit)
|
static double |
exponentialMean(double mu,
double sigma)
|
static double |
exponentialMedian(double mu,
double sigma)
|
static double |
exponentialMode(double mu)
|
static double |
exponentialPDF(double mu,
double sigma,
double x)
|
static double |
exponentialProb(double mu,
double sigma,
double upperlimit)
|
static double |
exponentialProb(double mu,
double sigma,
double lowerlimit,
double upperlimit)
|
static double[] |
exponentialRand(double mu,
double sigma,
int n)
|
static double[] |
exponentialRand(double mu,
double sigma,
int n,
long seed)
|
static double |
exponentialStandDev(double sigma)
|
static double |
factorial(double n)
|
static int |
factorial(int n)
|
static long |
factorial(long n)
|
static double |
fCompCDF(double var1,
int df1,
double var2,
int df2)
|
static double |
fCompCDF(double fValue,
int df1,
int df2)
|
static void |
fitOneOrSeveralDistributions(double[] array)
|
double |
fPDF(double var1,
int nu1,
double var2,
int nu2)
|
double |
fPDF(double fValue,
int nu1,
int nu2)
|
static double[] |
fRand(int nu1,
int nu2,
int n)
|
static double[] |
fRand(int nu1,
int nu2,
int n,
long seed)
|
static double |
frechet(double mu,
double sigma,
double gamma,
double x)
|
static double |
frechetCDF(double mu,
double sigma,
double gamma,
double lowerlimit,
double upperlimit)
|
static double |
frechetMean(double mu,
double sigma,
double gamma)
|
static double |
frechetMode(double mu,
double sigma,
double gamma)
|
static double |
frechetPDF(double mu,
double sigma,
double gamma,
double x)
|
static double |
frechetProb(double mu,
double sigma,
double gamma,
double upperlimit)
|
static double |
frechetProb(double mu,
double sigma,
double gamma,
double lowerlimit,
double upperlimit)
|
static double[] |
frechetRand(double mu,
double sigma,
double gamma,
int n)
|
static double[] |
frechetRand(double mu,
double sigma,
double gamma,
int n,
long seed)
|
static double |
frechetStandDev(double sigma,
double gamma)
|
static double |
fTestProb(double var1,
int df1,
double var2,
int df2)
|
static double |
fTestProb(double fValue,
int df1,
int df2)
|
static double |
fTestValueGivenFprob(double fProb,
int df1,
int df2)
|
static double |
gamma(double x)
|
static double |
gammaCDF(double gamma,
double upperLimit)
|
static double |
gammaCDF(double mu,
double beta,
double gamma,
double upperLimit)
|
static double |
gammaFunction(double x)
|
static double |
gammaMean(double mu,
double beta,
double gamma)
|
static double |
gammaMode(double mu,
double beta,
double gamma)
|
static double |
gammaPDF(double gamma,
double x)
|
static double |
gammaPDF(double mu,
double beta,
double gamma,
double x)
|
static double[] |
gammaRand(double mu,
double beta,
double gamma,
int n)
|
static double[] |
gammaRand(double mu,
double beta,
double gamma,
int n,
long seed)
|
static double |
gammaStandDev(double mu,
double beta,
double gamma)
|
static double |
gaussian(double mean,
double sd,
double x)
|
static double |
gaussianCDF(double mean,
double sd,
double upperlimit)
|
static double |
gaussianCDF(double mean,
double sd,
double lowerlimit,
double upperlimit)
|
static double |
gaussianPDF(double mean,
double sd,
double x)
|
static double |
gaussianProb(double mean,
double sd,
double upperlimit)
|
static double |
gaussianProb(double mean,
double sd,
double lowerlimit,
double upperlimit)
|
static double[] |
gaussianRand(double mean,
double sd,
int n)
|
static double[] |
gaussianRand(double mean,
double sd,
int n,
long seed)
|
static double |
generalisedMean(double[] aa,
double m)
|
static float |
generalisedMean(float[] aa,
float m)
|
static double |
geometricMean(double[] aa)
|
static double |
geometricMean(double[] aa,
double[] ww)
|
static float |
geometricMean(float[] aa)
|
static float |
geometricMean(float[] aa,
float[] ww)
|
static double |
getFpmin()
|
static int |
getIncGammaMaxIter()
|
static double |
getIncGammaTol()
|
static double[] |
getLanczosCoeff()
|
static double |
getLanczosGamma()
|
static int |
getLanczosN()
|
static double |
gumbelMax(double mu,
double sigma,
double x)
|
static double |
gumbelMaxCDF(double mu,
double sigma,
double upperlimit)
|
static double |
gumbelMaxCDF(double mu,
double sigma,
double lowerlimit,
double upperlimit)
|
static double |
gumbelMaxMean(double mu,
double sigma)
|
static double |
gumbelMaxMedian(double mu,
double sigma)
|
static double |
gumbelMaxMode(double mu,
double sigma)
|
static double |
gumbelMaxPDF(double mu,
double sigma,
double x)
|
static double |
gumbelMaxProb(double mu,
double sigma,
double upperlimit)
|
static double |
gumbelMaxProb(double mu,
double sigma,
double lowerlimit,
double upperlimit)
|
static double[] |
gumbelMaxRand(double mu,
double sigma,
int n)
|
static double[] |
gumbelMaxRand(double mu,
double sigma,
int n,
long seed)
|
static double |
gumbelMaxStandDev(double sigma)
|
static double |
gumbelMin(double mu,
double sigma,
double x)
|
static double |
gumbelMinCDF(double mu,
double sigma,
double lowerlimit,
double upperlimit)
|
static double |
gumbelMinMean(double mu,
double sigma)
|
static double |
gumbelMinMedian(double mu,
double sigma)
|
static double |
gumbelMinMode(double mu,
double sigma)
|
static double |
gumbelMinPDF(double mu,
double sigma,
double x)
|
static double |
gumbelMinProb(double mu,
double sigma,
double upperlimit)
|
static double |
gumbelMinProb(double mu,
double sigma,
double lowerlimit,
double upperlimit)
|
static double |
gumbelMinProbCDF(double mu,
double sigma,
double upperlimit)
|
static double[] |
gumbelMinRand(double mu,
double sigma,
int n)
|
static double[] |
gumbelMinRand(double mu,
double sigma,
int n,
long seed)
|
static double |
gumbelMinStandDev(double sigma)
|
static double |
harmonicMean(double[] aa)
|
static double |
harmonicMean(double[] aa,
double[] ww)
|
static float |
harmonicMean(float[] aa)
|
static float |
harmonicMean(float[] aa,
float[] ww)
|
static double[][] |
histogramBins(double[] data,
double binWidth)
|
static double[][] |
histogramBins(double[] data,
double binWidth,
double binZero)
|
static double[][] |
histogramBins(double[] data,
double binWidth,
double binZero,
double binUpper)
|
static double[][] |
histogramBinsPlot(double[] data,
double binWidth)
|
static double[][] |
histogramBinsPlot(double[] data,
double binWidth,
double binZero)
|
static double[][] |
histogramBinsPlot(double[] data,
double binWidth,
double binZero,
double binUpper)
|
static double[][] |
histogramBinsPlot(double[] data,
double binWidth,
double binZero,
double binUpper,
java.lang.String xLegend)
|
static double[][] |
histogramBinsPlot(double[] data,
double binWidth,
double binZero,
java.lang.String xLegend)
|
static double[][] |
histogramBinsPlot(double[] data,
double binWidth,
java.lang.String xLegend)
|
static double |
incompleteBeta(double z,
double w,
double x)
|
static double |
incompleteGamma(double a,
double x)
|
static double |
incompleteGammaComplementary(double a,
double x)
|
static double |
incompleteGammaFract(double a,
double x)
|
static double |
incompleteGammaSer(double a,
double x)
|
static double |
interQuartileMean(double[] aa)
|
static float |
interQuartileMean(float[] aa)
|
static double |
linearCorrCoeff(double rCoeff,
int nu)
|
static double |
linearCorrCoeffProb(double rCoeff,
int nu)
|
static double |
logFactorial(double n)
|
static double |
logFactorial(int n)
|
static double |
logFactorial(long n)
|
static double |
logGamma(double x)
|
static double |
logGammaFunction(double x)
|
static double |
logistic(double mu,
double beta,
double x)
|
static double |
logisticCDF(double mu,
double beta,
double upperlimit)
|
static double |
logisticCDF(double mu,
double beta,
double lowerlimit,
double upperlimit)
|
static double |
logisticMean(double mu)
|
static double |
logisticMedian(double mu)
|
static double |
logisticMode(double mu)
|
static double |
logisticPDF(double mu,
double beta,
double x)
|
static double |
logisticProb(double mu,
double beta,
double upperlimit)
|
static double |
logisticProb(double mu,
double beta,
double lowerlimit,
double upperlimit)
|
static double[] |
logisticRand(double mu,
double beta,
int n)
|
static double[] |
logisticRand(double mu,
double beta,
int n,
long seed)
|
static double |
logisticStandDev(double beta)
|
static double |
lorentzian(double mu,
double gamma,
double x)
|
static double |
lorentzianCDF(double mu,
double gamma,
double lowerlimit,
double upperlimit)
|
static double |
lorentzianPDF(double mu,
double gamma,
double x)
|
static double |
lorentzianProb(double mu,
double gamma,
double upperlimit)
|
static double |
lorentzianProb(double mu,
double gamma,
double lowerlimit,
double upperlimit)
|
static double[] |
lorentzianRand(double mu,
double gamma,
int n)
|
static double[] |
lorentzianRand(double mu,
double gamma,
int n,
long seed)
|
static java.util.Vector<java.lang.Object> |
lowerOutliersAnscombe(double[] values,
double constant)
|
static flanagan.complex.Complex |
mean(flanagan.complex.Complex[] aa)
|
static double |
mean(double[] aa)
|
static double |
mean(double[] aa,
double[] ww)
|
static float |
mean(float[] aa)
|
static double |
mean(float[] aa,
float[] ww)
|
static double |
mean(int[] aa)
|
static double |
mean(long[] aa)
|
static double |
median(double[] aa)
|
static float |
median(float[] aa)
|
static double |
median(int[] aa)
|
static double |
median(long[] aa)
|
static double |
normal(double mean,
double sd,
double x)
|
static double |
normalCDF(double mean,
double sd,
double upperlimit)
|
static double |
normalCDF(double mean,
double sd,
double lowerlimit,
double upperlimit)
|
static double |
normalPDF(double mean,
double sd,
double x)
|
static double |
normalProb(double mean,
double sd,
double upperlimit)
|
static double |
normalProb(double mean,
double sd,
double lowerlimit,
double upperlimit)
|
static double[] |
normalRand(double mean,
double sd,
int n)
|
static double[] |
normalRand(double mean,
double sd,
int n,
long seed)
|
static double |
pareto(double alpha,
double beta,
double x)
|
static double |
paretoCDF(double alpha,
double beta,
double upperlimit)
|
static double |
paretoCDF(double alpha,
double beta,
double lowerlimit,
double upperlimit)
|
static double |
paretoMean(double alpha,
double beta)
|
static double |
paretoMode(double beta)
|
static double |
paretoPDF(double alpha,
double beta,
double x)
|
static double |
paretoProb(double alpha,
double beta,
double upperlimit)
|
static double |
paretoProb(double alpha,
double beta,
double lowerlimit,
double upperlimit)
|
static double[] |
paretoRand(double alpha,
double beta,
int n)
|
static double[] |
paretoRand(double alpha,
double beta,
int n,
long seed)
|
static double |
paretoStandDev(double alpha,
double beta)
|
static double |
poisson(int k,
double mean)
|
static double |
poissonCDF(int k,
double mean)
|
static double |
poissonPDF(int k,
double mean)
|
static double |
poissonProb(int k,
double mean)
|
static double[] |
poissonRand(double mean,
int n)
|
static double[] |
poissonRand(double mean,
int n,
long seed)
|
static double |
probAtn(double tValue,
int df)
|
static double |
rayleigh(double sigma,
double x)
|
static double |
rayleighCDF(double sigma,
double upperlimit)
|
static double |
rayleighCDF(double sigma,
double lowerlimit,
double upperlimit)
|
static double |
rayleighMean(double sigma)
|
static double |
rayleighMedian(double sigma)
|
static double |
rayleighMode(double sigma)
|
static double |
rayleighPDF(double sigma,
double x)
|
static double |
rayleighProb(double sigma,
double upperlimit)
|
static double |
rayleighProb(double sigma,
double lowerlimit,
double upperlimit)
|
static double[] |
rayleighRand(double sigma,
int n)
|
static double[] |
rayleighRand(double sigma,
int n,
long seed)
|
static double |
rayleighStandDev(double sigma)
|
static double |
regIncompleteGamma(double a,
double x)
|
static double |
regIncompleteGammaComplementary(double a,
double x)
|
static double |
regularisedBetaFunction(double z,
double w,
double x)
|
static double |
regularisedGammaFunction(double a,
double x)
|
static double |
regularizedBetaFunction(double z,
double w,
double x)
|
static double |
regularizedGammaFunction(double a,
double x)
|
static double |
rms(double[] aa)
|
static float |
rms(float[] aa)
|
static void |
setIncGammaMaxIter(int igfiter)
|
static void |
setIncGammaTol(double igfeps)
|
static double |
standardDeviation(double[] aa)
|
static double |
standardDeviation(double[] aa,
double[] ww)
|
static float |
standardDeviation(float[] aa)
|
static float |
standardDeviation(float[] aa,
float[] ww)
|
static double |
standardDeviation(int[] aa)
|
static double |
standardDeviation(long[] aa)
|
static double |
studentT(double tValue,
int df)
|
static double |
studentTcdf(double tValue,
int df)
|
static double |
studentTCDF(double tValue,
int df)
|
static double |
studentTmean(int df)
|
static double |
studentTmedian()
|
static double |
studentTmode()
|
static double |
studentTpdf(double tValue,
int df)
|
static double |
studentTPDF(double tValue,
int df)
|
static double |
studentTProb(double tValue,
int df)
|
static double[] |
studentTrand(int nu,
int n)
|
double[] |
studentTRand(int nu,
int n)
|
static double[] |
studentTrand(int nu,
int n,
long seed)
|
static double[] |
studentTRand(int nu,
int n,
long seed)
|
static double |
studentTstandDev(int df)
|
static double[] |
subtractMean(double[] array)
|
static float[] |
subtractMean(float[] array)
|
static java.util.Vector<java.lang.Object> |
upperOutliersAnscombe(double[] values,
double constant)
|
static double |
variance(double[] aa)
|
static double |
variance(double[] aa,
double[] ww)
|
static float |
variance(float[] aa)
|
static float |
variance(float[] aa,
float[] ww)
|
static double |
variance(int[] aa)
|
static double |
variance(long[] aa)
|
static double |
volatilityLogChange(double[] array)
|
static float |
volatilityLogChange(float[] array)
|
static double |
volatilityPerCentChange(double[] array)
|
static double |
volatilityPerCentChange(float[] array)
|
static double |
weibull(double mu,
double sigma,
double gamma,
double x)
|
static double |
weibullCDF(double mu,
double sigma,
double gamma,
double upperlimit)
|
static double |
weibullCDF(double mu,
double sigma,
double gamma,
double lowerlimit,
double upperlimit)
|
static double |
weibullMean(double mu,
double sigma,
double gamma)
|
static double |
weibullMedian(double mu,
double sigma,
double gamma)
|
static double |
weibullMode(double mu,
double sigma,
double gamma)
|
static double |
weibullPDF(double mu,
double sigma,
double gamma,
double x)
|
static double |
weibullProb(double mu,
double sigma,
double gamma,
double upperlimit)
|
static double |
weibullProb(double mu,
double sigma,
double gamma,
double lowerlimit,
double upperlimit)
|
static double[] |
weibullRand(double mu,
double sigma,
double gamma,
int n)
|
static double[] |
weibullRand(double mu,
double sigma,
double gamma,
int n,
long seed)
|
static double |
weibullStandDev(double sigma,
double gamma)
|
Methods inherited from class java.lang.Object |
equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
FPMIN
public static final double FPMIN
- See Also:
- Constant Field Values
Stat
public Stat()
mean
public static double mean(double[] aa)
mean
public static double mean(double[] aa,
double[] ww)
mean
public static double mean(float[] aa,
float[] ww)
geometricMean
public static double geometricMean(double[] aa)
geometricMean
public static float geometricMean(float[] aa)
geometricMean
public static double geometricMean(double[] aa,
double[] ww)
geometricMean
public static float geometricMean(float[] aa,
float[] ww)
harmonicMean
public static double harmonicMean(double[] aa)
harmonicMean
public static float harmonicMean(float[] aa)
harmonicMean
public static double harmonicMean(double[] aa,
double[] ww)
harmonicMean
public static float harmonicMean(float[] aa,
float[] ww)
generalisedMean
public static double generalisedMean(double[] aa,
double m)
generalisedMean
public static float generalisedMean(float[] aa,
float m)
interQuartileMean
public static double interQuartileMean(double[] aa)
interQuartileMean
public static float interQuartileMean(float[] aa)
rms
public static double rms(double[] aa)
rms
public static float rms(float[] aa)
mean
public static float mean(float[] aa)
mean
public static double mean(int[] aa)
mean
public static double mean(long[] aa)
mean
public static flanagan.complex.Complex mean(flanagan.complex.Complex[] aa)
median
public static double median(double[] aa)
median
public static float median(float[] aa)
median
public static double median(int[] aa)
median
public static double median(long[] aa)
standardDeviation
public static double standardDeviation(double[] aa)
standardDeviation
public static float standardDeviation(float[] aa)
standardDeviation
public static double standardDeviation(int[] aa)
standardDeviation
public static double standardDeviation(long[] aa)
standardDeviation
public static double standardDeviation(double[] aa,
double[] ww)
standardDeviation
public static float standardDeviation(float[] aa,
float[] ww)
volatilityLogChange
public static double volatilityLogChange(double[] array)
volatilityLogChange
public static float volatilityLogChange(float[] array)
volatilityPerCentChange
public static double volatilityPerCentChange(double[] array)
volatilityPerCentChange
public static double volatilityPerCentChange(float[] array)
coefficientOfVariation
public static double coefficientOfVariation(double[] array)
coefficientOfVariation
public static float coefficientOfVariation(float[] array)
subtractMean
public static double[] subtractMean(double[] array)
subtractMean
public static float[] subtractMean(float[] array)
variance
public static double variance(double[] aa)
variance
public static float variance(float[] aa)
variance
public static double variance(int[] aa)
variance
public static double variance(long[] aa)
variance
public static double variance(double[] aa,
double[] ww)
variance
public static float variance(float[] aa,
float[] ww)
covariance
public static double covariance(double[] xx,
double[] yy)
covariance
public static float covariance(float[] xx,
float[] yy)
covariance
public static double covariance(int[] xx,
int[] yy)
covariance
public static double covariance(long[] xx,
long[] yy)
covariance
public static double covariance(double[] xx,
double[] yy,
double[] ww)
gammaCDF
public static double gammaCDF(double mu,
double beta,
double gamma,
double upperLimit)
gammaCDF
public static double gammaCDF(double gamma,
double upperLimit)
gammaPDF
public static double gammaPDF(double mu,
double beta,
double gamma,
double x)
gammaPDF
public static double gammaPDF(double gamma,
double x)
gammaMean
public static double gammaMean(double mu,
double beta,
double gamma)
gammaMode
public static double gammaMode(double mu,
double beta,
double gamma)
gammaStandDev
public static double gammaStandDev(double mu,
double beta,
double gamma)
gammaRand
public static double[] gammaRand(double mu,
double beta,
double gamma,
int n)
gammaRand
public static double[] gammaRand(double mu,
double beta,
double gamma,
int n,
long seed)
gammaFunction
public static double gammaFunction(double x)
gamma
public static double gamma(double x)
getLanczosGamma
public static double getLanczosGamma()
getLanczosN
public static int getLanczosN()
getLanczosCoeff
public static double[] getLanczosCoeff()
getFpmin
public static double getFpmin()
logGammaFunction
public static double logGammaFunction(double x)
logGamma
public static double logGamma(double x)
regularisedGammaFunction
public static double regularisedGammaFunction(double a,
double x)
regularizedGammaFunction
public static double regularizedGammaFunction(double a,
double x)
regIncompleteGamma
public static double regIncompleteGamma(double a,
double x)
incompleteGamma
public static double incompleteGamma(double a,
double x)
complementaryRegularisedGammaFunction
public static double complementaryRegularisedGammaFunction(double a,
double x)
complementaryRegularizedGammaFunction
public static double complementaryRegularizedGammaFunction(double a,
double x)
incompleteGammaComplementary
public static double incompleteGammaComplementary(double a,
double x)
regIncompleteGammaComplementary
public static double regIncompleteGammaComplementary(double a,
double x)
incompleteGammaSer
public static double incompleteGammaSer(double a,
double x)
incompleteGammaFract
public static double incompleteGammaFract(double a,
double x)
setIncGammaMaxIter
public static void setIncGammaMaxIter(int igfiter)
getIncGammaMaxIter
public static int getIncGammaMaxIter()
setIncGammaTol
public static void setIncGammaTol(double igfeps)
getIncGammaTol
public static double getIncGammaTol()
erlangCDF
public static double erlangCDF(double lambda,
int kay,
double upperLimit)
erlangCDF
public static double erlangCDF(double lambda,
long kay,
double upperLimit)
erlangCDF
public static double erlangCDF(double lambda,
double kay,
double upperLimit)
erlangPDF
public static double erlangPDF(double lambda,
int kay,
double x)
erlangPDF
public static double erlangPDF(double lambda,
long kay,
double x)
erlangPDF
public static double erlangPDF(double lambda,
double kay,
double x)
erlangMean
public static double erlangMean(double lambda,
int kay)
erlangMean
public static double erlangMean(double lambda,
long kay)
erlangMean
public static double erlangMean(double lambda,
double kay)
erlangMode
public static double erlangMode(double lambda,
int kay)
erlangMode
public static double erlangMode(double lambda,
long kay)
erlangMode
public static double erlangMode(double lambda,
double kay)
erlangStandDev
public static double erlangStandDev(double lambda,
int kay)
erlangStandDev
public static double erlangStandDev(double lambda,
long kay)
erlangStandDev
public static double erlangStandDev(double lambda,
double kay)
erlangRand
public static double[] erlangRand(double lambda,
int kay,
int n)
erlangRand
public static double[] erlangRand(double lambda,
long kay,
int n)
erlangRand
public static double[] erlangRand(double lambda,
double kay,
int n)
erlangRand
public static double[] erlangRand(double lambda,
int kay,
int n,
long seed)
erlangRand
public static double[] erlangRand(double lambda,
long kay,
int n,
long seed)
erlangRand
public static double[] erlangRand(double lambda,
double kay,
int n,
long seed)
erlangMprobability
public static double erlangMprobability(double totalTraffic,
double totalResources,
double em)
erlangMprobability
public static double erlangMprobability(double totalTraffic,
long totalResources,
long em)
erlangMprobability
public static double erlangMprobability(double totalTraffic,
int totalResources,
int em)
erlangBprobability
public static double erlangBprobability(double totalTraffic,
double totalResources)
erlangBprobability
public static double erlangBprobability(double totalTraffic,
long totalResources)
erlangBprobability
public static double erlangBprobability(double totalTraffic,
int totalResources)
erlangBload
public static double erlangBload(double blockingProbability,
double totalResources)
erlangBload
public static double erlangBload(double blockingProbability,
long totalResources)
erlangBload
public static double erlangBload(double blockingProbability,
int totalResources)
erlangCprobability
public static double erlangCprobability(double totalTraffic,
double totalResources)
erlangCprobability
public static double erlangCprobability(double totalTraffic,
long totalResources)
erlangCprobability
public static double erlangCprobability(double totalTraffic,
int totalResources)
erlangCload
public static double erlangCload(double nonZeroDelayProbability,
double totalResources)
erlangCload
public static double erlangCload(double nonZeroDelayProbability,
long totalResources)
erlangCload
public static double erlangCload(double nonZeroDelayProbability,
int totalResources)
engsetProbability
public static double engsetProbability(double offeredTraffic,
double totalResources,
double numberOfSources)
engsetProbability
public static double engsetProbability(double offeredTraffic,
long totalResources,
long numberOfSources)
engsetProbability
public static double engsetProbability(double offeredTraffic,
int totalResources,
int numberOfSources)
engsetLoad
public static double engsetLoad(double blockingProbability,
double totalResources,
double numberOfSources)
ensetLoad
public static double ensetLoad(double blockingProbability,
long totalResources,
long numberOfSources)
ensetLoad
public static double ensetLoad(double blockingProbability,
int totalResources,
int numberOfSources)
betaCDF
public static double betaCDF(double alpha,
double beta,
double limit)
betaCDF
public static double betaCDF(double min,
double max,
double alpha,
double beta,
double limit)
betaPDF
public static double betaPDF(double alpha,
double beta,
double x)
betaPDF
public static double betaPDF(double min,
double max,
double alpha,
double beta,
double x)
betaRand
public static double[] betaRand(double alpha,
double beta,
int n)
betaRand
public static double[] betaRand(double min,
double max,
double alpha,
double beta,
int n)
betaRand
public static double[] betaRand(double alpha,
double beta,
int n,
long seed)
betaRand
public static double[] betaRand(double min,
double max,
double alpha,
double beta,
int n,
long seed)
betaMean
public static double betaMean(double alpha,
double beta)
betaMean
public static double betaMean(double min,
double max,
double alpha,
double beta)
betaMode
public static double betaMode(double alpha,
double beta)
betaMode
public static double betaMode(double min,
double max,
double alpha,
double beta)
betaStandDev
public static double betaStandDev(double alpha,
double beta)
betaStandDev
public static double betaStandDev(double min,
double max,
double alpha,
double beta)
betaFunction
public static double betaFunction(double z,
double w)
beta
public static double beta(double z,
double w)
regularisedBetaFunction
public static double regularisedBetaFunction(double z,
double w,
double x)
regularizedBetaFunction
public static double regularizedBetaFunction(double z,
double w,
double x)
incompleteBeta
public static double incompleteBeta(double z,
double w,
double x)
contFract
public static double contFract(double a,
double b,
double x)
erf
public static double erf(double x)
erfc
public static double erfc(double x)
normalCDF
public static double normalCDF(double mean,
double sd,
double upperlimit)
normalProb
public static double normalProb(double mean,
double sd,
double upperlimit)
gaussianCDF
public static double gaussianCDF(double mean,
double sd,
double upperlimit)
gaussianProb
public static double gaussianProb(double mean,
double sd,
double upperlimit)
normalCDF
public static double normalCDF(double mean,
double sd,
double lowerlimit,
double upperlimit)
normalProb
public static double normalProb(double mean,
double sd,
double lowerlimit,
double upperlimit)
gaussianCDF
public static double gaussianCDF(double mean,
double sd,
double lowerlimit,
double upperlimit)
gaussianProb
public static double gaussianProb(double mean,
double sd,
double lowerlimit,
double upperlimit)
normalPDF
public static double normalPDF(double mean,
double sd,
double x)
normal
public static double normal(double mean,
double sd,
double x)
gaussianPDF
public static double gaussianPDF(double mean,
double sd,
double x)
gaussian
public static double gaussian(double mean,
double sd,
double x)
normalRand
public static double[] normalRand(double mean,
double sd,
int n)
gaussianRand
public static double[] gaussianRand(double mean,
double sd,
int n)
normalRand
public static double[] normalRand(double mean,
double sd,
int n,
long seed)
gaussianRand
public static double[] gaussianRand(double mean,
double sd,
int n,
long seed)
logisticCDF
public static double logisticCDF(double mu,
double beta,
double upperlimit)
logisticProb
public static double logisticProb(double mu,
double beta,
double upperlimit)
logisticCDF
public static double logisticCDF(double mu,
double beta,
double lowerlimit,
double upperlimit)
logisticProb
public static double logisticProb(double mu,
double beta,
double lowerlimit,
double upperlimit)
logisticPDF
public static double logisticPDF(double mu,
double beta,
double x)
logistic
public static double logistic(double mu,
double beta,
double x)
logisticRand
public static double[] logisticRand(double mu,
double beta,
int n)
logisticRand
public static double[] logisticRand(double mu,
double beta,
int n,
long seed)
logisticMean
public static double logisticMean(double mu)
logisticStandDev
public static double logisticStandDev(double beta)
logisticMode
public static double logisticMode(double mu)
logisticMedian
public static double logisticMedian(double mu)
lorentzianProb
public static double lorentzianProb(double mu,
double gamma,
double upperlimit)
lorentzianCDF
public static double lorentzianCDF(double mu,
double gamma,
double lowerlimit,
double upperlimit)
lorentzianProb
public static double lorentzianProb(double mu,
double gamma,
double lowerlimit,
double upperlimit)
lorentzianPDF
public static double lorentzianPDF(double mu,
double gamma,
double x)
lorentzian
public static double lorentzian(double mu,
double gamma,
double x)
lorentzianRand
public static double[] lorentzianRand(double mu,
double gamma,
int n)
lorentzianRand
public static double[] lorentzianRand(double mu,
double gamma,
int n,
long seed)
poissonCDF
public static double poissonCDF(int k,
double mean)
poissonProb
public static double poissonProb(int k,
double mean)
poissonPDF
public static double poissonPDF(int k,
double mean)
poisson
public static double poisson(int k,
double mean)
poissonRand
public static double[] poissonRand(double mean,
int n)
poissonRand
public static double[] poissonRand(double mean,
int n,
long seed)
chiSquareCDF
public static double chiSquareCDF(double chiSquare,
int nu)
chiSquareProb
public static double chiSquareProb(double chiSquare,
int nu)
chiSquarePDF
public static double chiSquarePDF(double chiSquare,
int nu)
chiSquareRand
public static double[] chiSquareRand(int nu,
int n)
chiSquareRand
public static double[] chiSquareRand(int nu,
int n,
long seed)
chiSquareMean
public static double chiSquareMean(int nu)
chiSquareMode
public static double chiSquareMode(int nu)
chiSquareStandDev
public static double chiSquareStandDev(int nu)
chiSquare
public static double chiSquare(double[] observed,
double[] expected,
double[] variance)
chiSquareFreq
public static double chiSquareFreq(double[] observedFreq,
double[] expectedFreq)
chiSquareFreq
public static double chiSquareFreq(int[] observedFreq,
int[] expectedFreq)
binomialCDF
public static double binomialCDF(double p,
int n,
int k)
binomialProb
public static double binomialProb(double p,
int n,
int k)
binomialPDF
public static double binomialPDF(double p,
int n,
int k)
binomial
public static double binomial(double p,
int n,
int k)
binomialCoeff
public static double binomialCoeff(int n,
int k)
binomialRand
public double[] binomialRand(double prob,
int nTrials,
int n)
binomialRand
public double[] binomialRand(double prob,
int nTrials,
int n,
long seed)
fCompCDF
public static double fCompCDF(double fValue,
int df1,
int df2)
fTestProb
public static double fTestProb(double fValue,
int df1,
int df2)
fCompCDF
public static double fCompCDF(double var1,
int df1,
double var2,
int df2)
fTestProb
public static double fTestProb(double var1,
int df1,
double var2,
int df2)
fTestValueGivenFprob
public static double fTestValueGivenFprob(double fProb,
int df1,
int df2)
fPDF
public double fPDF(double fValue,
int nu1,
int nu2)
fPDF
public double fPDF(double var1,
int nu1,
double var2,
int nu2)
fRand
public static double[] fRand(int nu1,
int nu2,
int n)
fRand
public static double[] fRand(int nu1,
int nu2,
int n,
long seed)
studentT
public static double studentT(double tValue,
int df)
studentTpdf
public static double studentTpdf(double tValue,
int df)
studentTPDF
public static double studentTPDF(double tValue,
int df)
studentTProb
public static double studentTProb(double tValue,
int df)
studentTcdf
public static double studentTcdf(double tValue,
int df)
studentTCDF
public static double studentTCDF(double tValue,
int df)
studentTmean
public static double studentTmean(int df)
studentTmedian
public static double studentTmedian()
studentTmode
public static double studentTmode()
studentTstandDev
public static double studentTstandDev(int df)
probAtn
public static double probAtn(double tValue,
int df)
studentTRand
public double[] studentTRand(int nu,
int n)
studentTrand
public static double[] studentTrand(int nu,
int n)
studentTrand
public static double[] studentTrand(int nu,
int n,
long seed)
studentTRand
public static double[] studentTRand(int nu,
int n,
long seed)
histogramBins
public static double[][] histogramBins(double[] data,
double binWidth,
double binZero,
double binUpper)
histogramBins
public static double[][] histogramBins(double[] data,
double binWidth,
double binZero)
histogramBins
public static double[][] histogramBins(double[] data,
double binWidth)
histogramBinsPlot
public static double[][] histogramBinsPlot(double[] data,
double binWidth,
double binZero,
double binUpper)
histogramBinsPlot
public static double[][] histogramBinsPlot(double[] data,
double binWidth,
double binZero,
double binUpper,
java.lang.String xLegend)
histogramBinsPlot
public static double[][] histogramBinsPlot(double[] data,
double binWidth,
double binZero)
histogramBinsPlot
public static double[][] histogramBinsPlot(double[] data,
double binWidth,
double binZero,
java.lang.String xLegend)
histogramBinsPlot
public static double[][] histogramBinsPlot(double[] data,
double binWidth)
histogramBinsPlot
public static double[][] histogramBinsPlot(double[] data,
double binWidth,
java.lang.String xLegend)
factorial
public static int factorial(int n)
factorial
public static long factorial(long n)
factorial
public static double factorial(double n)
logFactorial
public static double logFactorial(int n)
logFactorial
public static double logFactorial(long n)
logFactorial
public static double logFactorial(double n)
corrCoeff
public static double corrCoeff(double[] xx,
double[] yy)
corrCoeff
public static float corrCoeff(float[] x,
float[] y)
corrCoeff
public static double corrCoeff(int[] x,
int[] y)
corrCoeff
public static double corrCoeff(double[] x,
double[] y,
double[] w)
corrCoeff
public static double corrCoeff(int element00,
int element01,
int element10,
int element11)
corrCoeff
public static double corrCoeff(int[][] freqMatrix)
linearCorrCoeffProb
public static double linearCorrCoeffProb(double rCoeff,
int nu)
corrCoeffProb
public static double corrCoeffProb(double rCoeff,
int nu)
linearCorrCoeff
public static double linearCorrCoeff(double rCoeff,
int nu)
corrCoeffPDF
public static double corrCoeffPDF(double rCoeff,
int nu)
corrCoeffPdf
public static double corrCoeffPdf(double rCoeff,
int nu)
gumbelMinProbCDF
public static double gumbelMinProbCDF(double mu,
double sigma,
double upperlimit)
gumbelMinProb
public static double gumbelMinProb(double mu,
double sigma,
double upperlimit)
gumbelMaxCDF
public static double gumbelMaxCDF(double mu,
double sigma,
double upperlimit)
gumbelMaxProb
public static double gumbelMaxProb(double mu,
double sigma,
double upperlimit)
gumbelMinCDF
public static double gumbelMinCDF(double mu,
double sigma,
double lowerlimit,
double upperlimit)
gumbelMinProb
public static double gumbelMinProb(double mu,
double sigma,
double lowerlimit,
double upperlimit)
gumbelMaxCDF
public static double gumbelMaxCDF(double mu,
double sigma,
double lowerlimit,
double upperlimit)
gumbelMaxProb
public static double gumbelMaxProb(double mu,
double sigma,
double lowerlimit,
double upperlimit)
gumbelMinPDF
public static double gumbelMinPDF(double mu,
double sigma,
double x)
gumbelMin
public static double gumbelMin(double mu,
double sigma,
double x)
gumbelMaxPDF
public static double gumbelMaxPDF(double mu,
double sigma,
double x)
gumbelMax
public static double gumbelMax(double mu,
double sigma,
double x)
gumbelMinRand
public static double[] gumbelMinRand(double mu,
double sigma,
int n)
gumbelMinRand
public static double[] gumbelMinRand(double mu,
double sigma,
int n,
long seed)
gumbelMaxRand
public static double[] gumbelMaxRand(double mu,
double sigma,
int n)
gumbelMaxRand
public static double[] gumbelMaxRand(double mu,
double sigma,
int n,
long seed)
gumbelMinMean
public static double gumbelMinMean(double mu,
double sigma)
gumbelMaxMean
public static double gumbelMaxMean(double mu,
double sigma)
gumbelMinStandDev
public static double gumbelMinStandDev(double sigma)
gumbelMaxStandDev
public static double gumbelMaxStandDev(double sigma)
gumbelMinMode
public static double gumbelMinMode(double mu,
double sigma)
gumbelMaxMode
public static double gumbelMaxMode(double mu,
double sigma)
gumbelMinMedian
public static double gumbelMinMedian(double mu,
double sigma)
gumbelMaxMedian
public static double gumbelMaxMedian(double mu,
double sigma)
weibullCDF
public static double weibullCDF(double mu,
double sigma,
double gamma,
double upperlimit)
weibullProb
public static double weibullProb(double mu,
double sigma,
double gamma,
double upperlimit)
weibullCDF
public static double weibullCDF(double mu,
double sigma,
double gamma,
double lowerlimit,
double upperlimit)
weibullProb
public static double weibullProb(double mu,
double sigma,
double gamma,
double lowerlimit,
double upperlimit)
weibullPDF
public static double weibullPDF(double mu,
double sigma,
double gamma,
double x)
weibull
public static double weibull(double mu,
double sigma,
double gamma,
double x)
weibullMean
public static double weibullMean(double mu,
double sigma,
double gamma)
weibullStandDev
public static double weibullStandDev(double sigma,
double gamma)
weibullMode
public static double weibullMode(double mu,
double sigma,
double gamma)
weibullMedian
public static double weibullMedian(double mu,
double sigma,
double gamma)
weibullRand
public static double[] weibullRand(double mu,
double sigma,
double gamma,
int n)
weibullRand
public static double[] weibullRand(double mu,
double sigma,
double gamma,
int n,
long seed)
frechetProb
public static double frechetProb(double mu,
double sigma,
double gamma,
double upperlimit)
frechetCDF
public static double frechetCDF(double mu,
double sigma,
double gamma,
double lowerlimit,
double upperlimit)
frechetProb
public static double frechetProb(double mu,
double sigma,
double gamma,
double lowerlimit,
double upperlimit)
frechetPDF
public static double frechetPDF(double mu,
double sigma,
double gamma,
double x)
frechet
public static double frechet(double mu,
double sigma,
double gamma,
double x)
frechetMean
public static double frechetMean(double mu,
double sigma,
double gamma)
frechetStandDev
public static double frechetStandDev(double sigma,
double gamma)
frechetMode
public static double frechetMode(double mu,
double sigma,
double gamma)
frechetRand
public static double[] frechetRand(double mu,
double sigma,
double gamma,
int n)
frechetRand
public static double[] frechetRand(double mu,
double sigma,
double gamma,
int n,
long seed)
exponentialCDF
public static double exponentialCDF(double mu,
double sigma,
double upperlimit)
exponentialProb
public static double exponentialProb(double mu,
double sigma,
double upperlimit)
exponentialCDF
public static double exponentialCDF(double mu,
double sigma,
double lowerlimit,
double upperlimit)
exponentialProb
public static double exponentialProb(double mu,
double sigma,
double lowerlimit,
double upperlimit)
exponentialPDF
public static double exponentialPDF(double mu,
double sigma,
double x)
exponential
public static double exponential(double mu,
double sigma,
double x)
exponentialMean
public static double exponentialMean(double mu,
double sigma)
exponentialStandDev
public static double exponentialStandDev(double sigma)
exponentialMode
public static double exponentialMode(double mu)
exponentialMedian
public static double exponentialMedian(double mu,
double sigma)
exponentialRand
public static double[] exponentialRand(double mu,
double sigma,
int n)
exponentialRand
public static double[] exponentialRand(double mu,
double sigma,
int n,
long seed)
rayleighCDF
public static double rayleighCDF(double sigma,
double upperlimit)
rayleighProb
public static double rayleighProb(double sigma,
double upperlimit)
rayleighCDF
public static double rayleighCDF(double sigma,
double lowerlimit,
double upperlimit)
rayleighProb
public static double rayleighProb(double sigma,
double lowerlimit,
double upperlimit)
rayleighPDF
public static double rayleighPDF(double sigma,
double x)
rayleigh
public static double rayleigh(double sigma,
double x)
rayleighMean
public static double rayleighMean(double sigma)
rayleighStandDev
public static double rayleighStandDev(double sigma)
rayleighMode
public static double rayleighMode(double sigma)
rayleighMedian
public static double rayleighMedian(double sigma)
rayleighRand
public static double[] rayleighRand(double sigma,
int n)
rayleighRand
public static double[] rayleighRand(double sigma,
int n,
long seed)
paretoCDF
public static double paretoCDF(double alpha,
double beta,
double upperlimit)
paretoProb
public static double paretoProb(double alpha,
double beta,
double upperlimit)
paretoCDF
public static double paretoCDF(double alpha,
double beta,
double lowerlimit,
double upperlimit)
paretoProb
public static double paretoProb(double alpha,
double beta,
double lowerlimit,
double upperlimit)
paretoPDF
public static double paretoPDF(double alpha,
double beta,
double x)
pareto
public static double pareto(double alpha,
double beta,
double x)
paretoMean
public static double paretoMean(double alpha,
double beta)
paretoStandDev
public static double paretoStandDev(double alpha,
double beta)
paretoMode
public static double paretoMode(double beta)
paretoRand
public static double[] paretoRand(double alpha,
double beta,
int n)
paretoRand
public static double[] paretoRand(double alpha,
double beta,
int n,
long seed)
fitOneOrSeveralDistributions
public static void fitOneOrSeveralDistributions(double[] array)
upperOutliersAnscombe
public static java.util.Vector<java.lang.Object> upperOutliersAnscombe(double[] values,
double constant)
lowerOutliersAnscombe
public static java.util.Vector<java.lang.Object> lowerOutliersAnscombe(double[] values,
double constant)
jHepWork 1.1 (C) Chekanov