Documentation of 'javanpst.tests.goodness.lillieforsTest.LillieforsTest' Java class
LillieforsTest
javanpst.tests.goodness.lillieforsTest

Class LillieforsTest



  • public class LillieforsTest
    extends StatisticalTest
    The Lilliefors test. This goodness of fit test can be used to adjust a given sample to a Normal distribution, with unknown mean and sigma parameters. Adjustment to an Exponential distribution, with unknown mean, is also possible.
    • Constructor Detail

      • LillieforsTest

        public LillieforsTest()
        Default builder
      • LillieforsTest

        public LillieforsTest(NumericSequence newSequence)
        Builder. Load data to test.
        Parameters:
        newSequence - data to test.
    • Method Detail

      • clearData

        public void clearData()
        Clears the data stored in the test
        Specified by:
        clearData in class StatisticalTest
      • setData

        public void setData(NumericSequence newSequence)
        Load data to test.
        Parameters:
        newSequence - data to test.
      • adjustNormal

        public void adjustNormal()
        Sets adjustment to a normal distribution
      • adjustExponential

        public void adjustExponential()
        Sets adjustment to a exponential distribution
      • getDn

        public double getDn()
        Get Dn statistic
        Returns:
        Dn Statistic
      • getPValue

        public double getPValue()
        Get p-value of the test
        Returns:
        p-value computed
      • printData

        public java.lang.String printData()
        Prints the data stored in the test
        Specified by:
        printData in class StatisticalTest
        Returns:
        Data stored
      • printReport

        public java.lang.String printReport()
        Prints a report with the results of the test
        Specified by:
        printReport in class StatisticalTest
        Returns:
        Output report

DMelt 3.0 © DataMelt by jWork.ORG

You see the box below because you did not login.