flanagan.analysis
Class ProbabilityPlot

java.lang.Object
  extended by flanagan.analysis.ProbabilityPlot

public class ProbabilityPlot
extends java.lang.Object


Constructor Summary
ProbabilityPlot(java.util.ArrayList<java.lang.Object> xx)
           
ProbabilityPlot(ArrayMaths xx)
           
ProbabilityPlot(java.math.BigDecimal[] xx)
           
ProbabilityPlot(java.math.BigInteger[] xx)
           
ProbabilityPlot(byte[] xx)
           
ProbabilityPlot(java.lang.Byte[] xx)
           
ProbabilityPlot(double[] xx)
           
ProbabilityPlot(java.lang.Double[] xx)
           
ProbabilityPlot(float[] xx)
           
ProbabilityPlot(java.lang.Float[] xx)
           
ProbabilityPlot(int[] xx)
           
ProbabilityPlot(java.lang.Integer[] xx)
           
ProbabilityPlot(long[] xx)
           
ProbabilityPlot(java.lang.Long[] xx)
           
ProbabilityPlot(java.lang.Object[] xx)
           
ProbabilityPlot(short[] xx)
           
ProbabilityPlot(java.lang.Short[] xx)
           
ProbabilityPlot(Stat xx)
           
ProbabilityPlot(java.util.Vector<java.lang.Object> xx)
           
 
Method Summary
 double delta()
           
 double exponentialCorrelationCoefficient()
           
 double exponentialGradient()
           
 double exponentialGradientError()
           
 double exponentialIntercept()
           
 double exponentialInterceptError()
           
 double exponentialMu()
           
 double exponentialMuError()
           
 double[] exponentialOrderStatisticMedians()
           
 void exponentialProbabilityPlot()
           
 double exponentialSigma()
           
 double exponentialSigmaError()
           
 double exponentialSumOfSquares()
           
 double gaussianCorrelationCoefficient()
           
 double gaussianGradient()
           
 double gaussianGradientError()
           
 double gaussianIntercept()
           
 double gaussianInterceptError()
           
 double gaussianMu()
           
 double gaussianMuError()
           
 double[] gaussianOrderStatisticMedians()
           
 void gaussianProbabilityPlot()
           
 double gaussianSigma()
           
 double gaussianSigmaError()
           
 double gaussianSumOfSquares()
           
 double maximum()
           
 double mean()
           
 double minimum()
           
 double normalCorrelationCoefficient()
           
 double normalGradient()
           
 double normalGradientError()
           
 double normalIntercept()
           
 double normalInterceptError()
           
 double normalMu()
           
 double normalMuError()
           
 double[] normalOrderStatisticMedians()
           
 void normalProbabilityPlot()
           
 double normalSigma()
           
 double normalSigmaError()
           
 double normalSumOfSquares()
           
 int numberOfDataPoints()
           
 double[] orderedData()
           
 double paretoAlpha()
           
 double paretoAlphaError()
           
 double paretoBeta()
           
 double paretoBetaError()
           
 double paretoCorrelationCoefficient()
           
 double paretoGradient()
           
 double paretoGradientError()
           
 double paretoIntercept()
           
 double paretoInterceptError()
           
 double[] paretoOrderStatisticMedians()
           
 void paretoProbabilityPlot()
           
 double paretoSumOfSquares()
           
 double rayleighBeta()
           
 double rayleighBetaError()
           
 double rayleighCorrelationCoefficient()
           
 double rayleighGradient()
           
 double rayleighGradientError()
           
 double rayleighIntercept()
           
 double rayleighInterceptError()
           
 double[] rayleighOrderStatisticMedians()
           
 void rayleighProbabilityPlot()
           
 double rayleighSumOfSquares()
           
 void resetDelta(double delta)
           
 void setDenominatorToN()
           
 void setDenominatorToNminusOne()
           
 double standardDeviation()
           
 double weibullCorrelationCoefficient()
           
 double weibullGamma()
           
 double weibullGammaError()
           
 double weibullGradient()
           
 double weibullGradientError()
           
 double weibullIntercept()
           
 double weibullInterceptError()
           
 double weibullMu()
           
 double weibullMuError()
           
 double[] weibullOrderStatisticMedians()
           
 void weibullProbabilityPlot()
           
 double weibullSigma()
           
 double weibullSigmaError()
           
 double weibullSumOfSquares()
           
 
Methods inherited from class java.lang.Object
equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
 

Constructor Detail

ProbabilityPlot

public ProbabilityPlot(double[] xx)

ProbabilityPlot

public ProbabilityPlot(java.lang.Double[] xx)

ProbabilityPlot

public ProbabilityPlot(float[] xx)

ProbabilityPlot

public ProbabilityPlot(java.lang.Float[] xx)

ProbabilityPlot

public ProbabilityPlot(long[] xx)

ProbabilityPlot

public ProbabilityPlot(java.lang.Long[] xx)

ProbabilityPlot

public ProbabilityPlot(int[] xx)

ProbabilityPlot

public ProbabilityPlot(java.lang.Integer[] xx)

ProbabilityPlot

public ProbabilityPlot(short[] xx)

ProbabilityPlot

public ProbabilityPlot(java.lang.Short[] xx)

ProbabilityPlot

public ProbabilityPlot(byte[] xx)

ProbabilityPlot

public ProbabilityPlot(java.lang.Byte[] xx)

ProbabilityPlot

public ProbabilityPlot(java.math.BigDecimal[] xx)

ProbabilityPlot

public ProbabilityPlot(java.math.BigInteger[] xx)

ProbabilityPlot

public ProbabilityPlot(java.lang.Object[] xx)

ProbabilityPlot

public ProbabilityPlot(java.util.Vector<java.lang.Object> xx)

ProbabilityPlot

public ProbabilityPlot(java.util.ArrayList<java.lang.Object> xx)

ProbabilityPlot

public ProbabilityPlot(ArrayMaths xx)

ProbabilityPlot

public ProbabilityPlot(Stat xx)
Method Detail

gaussianProbabilityPlot

public void gaussianProbabilityPlot()

normalProbabilityPlot

public void normalProbabilityPlot()

gaussianMu

public double gaussianMu()

gaussianMuError

public double gaussianMuError()

gaussianSigma

public double gaussianSigma()

gaussianSigmaError

public double gaussianSigmaError()

gaussianGradient

public double gaussianGradient()

gaussianGradientError

public double gaussianGradientError()

gaussianIntercept

public double gaussianIntercept()

gaussianInterceptError

public double gaussianInterceptError()

gaussianCorrelationCoefficient

public double gaussianCorrelationCoefficient()

gaussianSumOfSquares

public double gaussianSumOfSquares()

gaussianOrderStatisticMedians

public double[] gaussianOrderStatisticMedians()

normalMu

public double normalMu()

normalMuError

public double normalMuError()

normalSigma

public double normalSigma()

normalSigmaError

public double normalSigmaError()

normalGradient

public double normalGradient()

normalGradientError

public double normalGradientError()

normalIntercept

public double normalIntercept()

normalInterceptError

public double normalInterceptError()

normalCorrelationCoefficient

public double normalCorrelationCoefficient()

normalSumOfSquares

public double normalSumOfSquares()

normalOrderStatisticMedians

public double[] normalOrderStatisticMedians()

weibullProbabilityPlot

public void weibullProbabilityPlot()

weibullMu

public double weibullMu()

weibullMuError

public double weibullMuError()

weibullSigma

public double weibullSigma()

weibullSigmaError

public double weibullSigmaError()

weibullGamma

public double weibullGamma()

weibullGammaError

public double weibullGammaError()

weibullOrderStatisticMedians

public double[] weibullOrderStatisticMedians()

weibullGradient

public double weibullGradient()

weibullGradientError

public double weibullGradientError()

weibullIntercept

public double weibullIntercept()

weibullInterceptError

public double weibullInterceptError()

weibullCorrelationCoefficient

public double weibullCorrelationCoefficient()

weibullSumOfSquares

public double weibullSumOfSquares()

exponentialProbabilityPlot

public void exponentialProbabilityPlot()

exponentialMu

public double exponentialMu()

exponentialMuError

public double exponentialMuError()

exponentialSigma

public double exponentialSigma()

exponentialSigmaError

public double exponentialSigmaError()

exponentialOrderStatisticMedians

public double[] exponentialOrderStatisticMedians()

exponentialGradient

public double exponentialGradient()

exponentialGradientError

public double exponentialGradientError()

exponentialIntercept

public double exponentialIntercept()

exponentialInterceptError

public double exponentialInterceptError()

exponentialCorrelationCoefficient

public double exponentialCorrelationCoefficient()

exponentialSumOfSquares

public double exponentialSumOfSquares()

rayleighProbabilityPlot

public void rayleighProbabilityPlot()

rayleighBeta

public double rayleighBeta()

rayleighBetaError

public double rayleighBetaError()

rayleighOrderStatisticMedians

public double[] rayleighOrderStatisticMedians()

rayleighGradient

public double rayleighGradient()

rayleighGradientError

public double rayleighGradientError()

rayleighIntercept

public double rayleighIntercept()

rayleighInterceptError

public double rayleighInterceptError()

rayleighCorrelationCoefficient

public double rayleighCorrelationCoefficient()

rayleighSumOfSquares

public double rayleighSumOfSquares()

paretoProbabilityPlot

public void paretoProbabilityPlot()

paretoAlpha

public double paretoAlpha()

paretoAlphaError

public double paretoAlphaError()

paretoBeta

public double paretoBeta()

paretoBetaError

public double paretoBetaError()

paretoOrderStatisticMedians

public double[] paretoOrderStatisticMedians()

paretoGradient

public double paretoGradient()

paretoGradientError

public double paretoGradientError()

paretoIntercept

public double paretoIntercept()

paretoInterceptError

public double paretoInterceptError()

paretoCorrelationCoefficient

public double paretoCorrelationCoefficient()

paretoSumOfSquares

public double paretoSumOfSquares()

orderedData

public double[] orderedData()

numberOfDataPoints

public int numberOfDataPoints()

mean

public double mean()

standardDeviation

public double standardDeviation()

minimum

public double minimum()

maximum

public double maximum()

delta

public double delta()

resetDelta

public void resetDelta(double delta)

setDenominatorToN

public void setDenominatorToN()

setDenominatorToNminusOne

public void setDenominatorToNminusOne()


jHepWork 2.1 (C) S.Chekanov