Index (Apache Commons Statistics Inference 1.1 API)

A B C D E F G H I K L M N O P R S T U V W Z
All Classes All Packages

A

AlternativeHypothesis - Enum in org.apache.commons.statistics.inference: Represents an alternative hypothesis for a hypothesis test.
ASYMPTOTIC - org.apache.commons.statistics.inference.PValueMethod: Use the asymptotic distribution of the test statistic to evaluate the p-value.
AUTO - org.apache.commons.statistics.inference.PValueMethod: Automatically choose the method to evaluate the p-value.

B

BinomialTest - Class in org.apache.commons.statistics.inference: Implements binomial test statistics.
BOSCHLOO - org.apache.commons.statistics.inference.UnconditionedExactTest.Method: Uses the p-value from Fisher's exact test.

C

ChiSquareTest - Class in org.apache.commons.statistics.inference: Implements chi-square test statistics.
ContinuityCorrection - Enum in org.apache.commons.statistics.inference: Represents an optional adjustment that is made when a discrete distribution is approximated by a continuous distribution.

D

DataDispersion - Enum in org.apache.commons.statistics.inference: Represents an assumption on the dispersion of data.
DISABLED - org.apache.commons.statistics.inference.ContinuityCorrection: Disable continuity correction.

E

ENABLED - org.apache.commons.statistics.inference.ContinuityCorrection: Enable continuity correction.
ESTIMATE - org.apache.commons.statistics.inference.PValueMethod: Use an estimation method for the p-value.
EXACT - org.apache.commons.statistics.inference.PValueMethod: Use the exact distribution of the test statistic to evaluate the p-value.

F

FisherExactTest - Class in org.apache.commons.statistics.inference: Implements Fisher's exact test.

G

getDegreesOfFreedom() - Method in class org.apache.commons.statistics.inference.TTest.Result: Gets the degrees of freedom.
getMSBG() - Method in class org.apache.commons.statistics.inference.OneWayAnova.Result: Gets the mean square between groups.
getMSWG() - Method in class org.apache.commons.statistics.inference.OneWayAnova.Result: Gets the mean square within groups.
getNuisanceParameter() - Method in class org.apache.commons.statistics.inference.UnconditionedExactTest.Result: Gets the nuisance parameter that maximised the probability sum of the as or more extreme tables.
getPValue() - Method in interface org.apache.commons.statistics.inference.SignificanceResult: Returns the test statistic p-value.
getSign() - Method in class org.apache.commons.statistics.inference.KolmogorovSmirnovTest.OneResult: Gets the sign of the statistic.
getStatistic() - Method in class org.apache.commons.statistics.inference.KolmogorovSmirnovTest.TwoResult: Returns the test statistic.
getStatistic() - Method in class org.apache.commons.statistics.inference.MannWhitneyUTest.Result: Returns the test statistic.
getStatistic() - Method in interface org.apache.commons.statistics.inference.SignificanceResult: Returns the test statistic.
getStatistic() - Method in class org.apache.commons.statistics.inference.UnconditionedExactTest.Result: Returns the test statistic.
getUpperD() - Method in class org.apache.commons.statistics.inference.KolmogorovSmirnovTest.TwoResult: Return the upper bound of the D statistic from all possible paths through regions with ties.
getUpperPValue() - Method in class org.apache.commons.statistics.inference.KolmogorovSmirnovTest.TwoResult: Return the p-value of the upper bound of the D statistic.
getVCBG() - Method in class org.apache.commons.statistics.inference.OneWayAnova.Result: Gets the variance component between groups.
getVCWG() - Method in class org.apache.commons.statistics.inference.OneWayAnova.Result: Gets the variance component within groups.
GREATER_THAN - org.apache.commons.statistics.inference.AlternativeHypothesis: Represents a right-sided test.
GTest - Class in org.apache.commons.statistics.inference: Implements G-test (Generalized Log-Likelihood Ratio Test) statistics.

H

hasSignificantTies() - Method in class org.apache.commons.statistics.inference.KolmogorovSmirnovTest.TwoResult: Returns true if there were ties between samples that occurred in a region which could change the D statistic if the ties were resolved to a defined order.
hasTiedValues() - Method in class org.apache.commons.statistics.inference.MannWhitneyUTest.Result: Return true if the data had tied values.
hasTiedValues() - Method in class org.apache.commons.statistics.inference.WilcoxonSignedRankTest.Result: Return true if the data had tied values (with equal ranks).
hasZeroValues() - Method in class org.apache.commons.statistics.inference.WilcoxonSignedRankTest.Result: Return true if the data had zero values.
HETEROSCEDASTIC - org.apache.commons.statistics.inference.DataDispersion: Data does not have the same variance.
HOMOSCEDASTIC - org.apache.commons.statistics.inference.DataDispersion: All data has the same finite variance (homogeneity of variance).

I

Inequality - Enum in org.apache.commons.statistics.inference: Represents a non-equal comparison between two numbers.

K

KolmogorovSmirnovTest - Class in org.apache.commons.statistics.inference: Implements the Kolmogorov-Smirnov (K-S) test for equality of continuous distributions.
KolmogorovSmirnovTest.OneResult - Class in org.apache.commons.statistics.inference: Result for the one-sample Kolmogorov-Smirnov test.
KolmogorovSmirnovTest.TwoResult - Class in org.apache.commons.statistics.inference: Result for the two-sample Kolmogorov-Smirnov test.

L

LESS_THAN - org.apache.commons.statistics.inference.AlternativeHypothesis: Represents a left-sided test.

M

MannWhitneyUTest - Class in org.apache.commons.statistics.inference: Implements the Mann-Whitney U test (also called Wilcoxon rank-sum test).
MannWhitneyUTest.Result - Class in org.apache.commons.statistics.inference: Result for the Mann-Whitney U test.

N

NON_STRICT - org.apache.commons.statistics.inference.Inequality: Represents a non-strict inequality (numbers may be equal).

O

OneWayAnova - Class in org.apache.commons.statistics.inference: Implements one-way ANOVA (analysis of variance) statistics.
OneWayAnova.Result - Class in org.apache.commons.statistics.inference: Result for the one-way ANOVA.
org.apache.commons.statistics.inference - package org.apache.commons.statistics.inference: Classes providing hypothesis testing.

P

pairedStatistic(double[], double[]) - Method in class org.apache.commons.statistics.inference.TTest: Computes a paired two-sample t-statistic on related samples comparing the mean difference between the samples to mu.
pairedTest(double[], double[]) - Method in class org.apache.commons.statistics.inference.TTest: Performs a paired two-sample t-test on related samples comparing the mean difference between the samples to mu.
PValueMethod - Enum in org.apache.commons.statistics.inference: Represents a method for computing a p-value for a test statistic.

R

reject(double) - Method in interface org.apache.commons.statistics.inference.SignificanceResult: Returns true iff the null hypothesis can be rejected with 100 * (1 - alpha) percent confidence.

S

SignificanceResult - Interface in org.apache.commons.statistics.inference: Contains the result of a test for significance.
statistic(double[]) - Method in class org.apache.commons.statistics.inference.TTest: Computes a one-sample t statistic comparing the mean of the sample to mu.
statistic(double[]) - Method in class org.apache.commons.statistics.inference.WilcoxonSignedRankTest: Computes the Wilcoxon signed ranked statistic comparing the differences between sample values z = x - y to mu.
statistic(double[], double[]) - Method in class org.apache.commons.statistics.inference.KolmogorovSmirnovTest: Computes the two-sample Kolmogorov-Smirnov test statistic.
statistic(double[], double[]) - Method in class org.apache.commons.statistics.inference.MannWhitneyUTest: Computes the Mann-Whitney U statistic comparing two independent samples possibly of different length.
statistic(double[], double[]) - Method in class org.apache.commons.statistics.inference.TTest: Computes a two-sample t statistic on independent samples comparing the difference in means of the samples to mu.
statistic(double[], double[]) - Method in class org.apache.commons.statistics.inference.WilcoxonSignedRankTest: Computes the Wilcoxon signed ranked statistic comparing the differences between two related samples or repeated measurements on a single sample.
statistic(double[], long[]) - Method in class org.apache.commons.statistics.inference.ChiSquareTest: Computes the chi-square goodness-of-fit statistic comparing observed and expected frequency counts.
statistic(double[], long[]) - Method in class org.apache.commons.statistics.inference.GTest: Computes the G-test goodness-of-fit statistic comparing observed and expected frequency counts.
statistic(double[], DoubleUnaryOperator) - Method in class org.apache.commons.statistics.inference.KolmogorovSmirnovTest: Computes the one-sample Kolmogorov-Smirnov test statistic.
statistic(double, double, long) - Method in class org.apache.commons.statistics.inference.TTest: Computes a one-sample t statistic comparing the mean of the dataset to mu.
statistic(double, double, long, double, double, long) - Method in class org.apache.commons.statistics.inference.TTest: Computes a two-sample t statistic on independent samples comparing the difference in means of the datasets to mu.
statistic(int[][]) - Method in class org.apache.commons.statistics.inference.FisherExactTest: Compute the prior odds ratio for the 2-by-2 contingency table.
statistic(int[][]) - Method in class org.apache.commons.statistics.inference.UnconditionedExactTest: Compute the statistic for the unconditioned exact test.
statistic(long[]) - Method in class org.apache.commons.statistics.inference.ChiSquareTest: Computes the chi-square goodness-of-fit statistic comparing the observed counts to a uniform expected value (each category is equally likely).
statistic(long[]) - Method in class org.apache.commons.statistics.inference.GTest: Computes the G-test goodness-of-fit statistic comparing the observed counts to a uniform expected value (each category is equally likely).
statistic(long[][]) - Method in class org.apache.commons.statistics.inference.ChiSquareTest: Computes the chi-square statistic associated with a chi-square test of independence based on the input counts array, viewed as a two-way table in row-major format.
statistic(long[][]) - Method in class org.apache.commons.statistics.inference.GTest: Computes a G-test statistic associated with a G-test of independence based on the input counts array, viewed as a two-way table.
statistic(long[], long[]) - Method in class org.apache.commons.statistics.inference.ChiSquareTest: Computes a chi-square statistic associated with a chi-square test of independence of frequency counts in observed1 and observed2.
statistic(Collection<double[]>) - Method in class org.apache.commons.statistics.inference.OneWayAnova: Computes the F statistic for an ANOVA test for a collection of category data, evaluating the null hypothesis that there is no difference among the means of the data categories.
STRICT - org.apache.commons.statistics.inference.Inequality: Represents a strict inequality.

T

test(double[]) - Method in class org.apache.commons.statistics.inference.TTest: Performs a one-sample t-test comparing the mean of the sample to mu.
test(double[]) - Method in class org.apache.commons.statistics.inference.WilcoxonSignedRankTest: Performs a Wilcoxon signed ranked statistic comparing the differences between sample values z = x - y to mu.
test(double[], double[]) - Method in class org.apache.commons.statistics.inference.KolmogorovSmirnovTest: Performs a two-sample Kolmogorov-Smirnov test on samples x and y.
test(double[], double[]) - Method in class org.apache.commons.statistics.inference.MannWhitneyUTest: Performs a Mann-Whitney U test comparing the location for two independent samples.
test(double[], double[]) - Method in class org.apache.commons.statistics.inference.TTest: Performs a two-sample t-test on independent samples comparing the difference in means of the samples to mu.
test(double[], double[]) - Method in class org.apache.commons.statistics.inference.WilcoxonSignedRankTest: Performs a Wilcoxon signed ranked statistic comparing mean for two related samples or repeated measurements on a single sample.
test(double[], long[]) - Method in class org.apache.commons.statistics.inference.ChiSquareTest: Perform a chi-square goodness-of-fit test evaluating the null hypothesis that the observed counts conform to the expected counts.
test(double[], long[]) - Method in class org.apache.commons.statistics.inference.GTest: Perform a G-test for goodness-of-fit evaluating the null hypothesis that the observed counts conform to the expected counts.
test(double[], DoubleUnaryOperator) - Method in class org.apache.commons.statistics.inference.KolmogorovSmirnovTest: Performs a one-sample Kolmogorov-Smirnov test evaluating the null hypothesis that x conforms to the distribution cumulative density function (cdf).
test(double, double, long) - Method in class org.apache.commons.statistics.inference.TTest: Perform a one-sample t-test comparing the mean of the dataset to mu.
test(double, double, long, double, double, long) - Method in class org.apache.commons.statistics.inference.TTest: Performs a two-sample t-test on independent samples comparing the difference in means of the datasets to mu.
test(int[][]) - Method in class org.apache.commons.statistics.inference.FisherExactTest: Performs Fisher's exact test on the 2-by-2 contingency table.
test(int[][]) - Method in class org.apache.commons.statistics.inference.UnconditionedExactTest: Performs an unconditioned exact test on the 2-by-2 contingency table.
test(int, int, double) - Method in class org.apache.commons.statistics.inference.BinomialTest: Performs a binomial test about the probability of success \( \pi \).
test(long[]) - Method in class org.apache.commons.statistics.inference.ChiSquareTest: Perform a chi-square goodness-of-fit test evaluating the null hypothesis that the observed counts conform to a uniform distribution (each category is equally likely).
test(long[]) - Method in class org.apache.commons.statistics.inference.GTest: Perform a G-test for goodness-of-fit evaluating the null hypothesis that the observed counts conform to a uniform distribution (each category is equally likely).
test(long[][]) - Method in class org.apache.commons.statistics.inference.ChiSquareTest: Perform a chi-square test of independence based on the input counts array, viewed as a two-way table.
test(long[][]) - Method in class org.apache.commons.statistics.inference.GTest: Perform a G-test of independence based on the input counts array, viewed as a two-way table.
test(long[], long[]) - Method in class org.apache.commons.statistics.inference.ChiSquareTest: Perform a chi-square test of independence of frequency counts in observed1 and observed2.
test(Collection<double[]>) - Method in class org.apache.commons.statistics.inference.OneWayAnova: Performs an ANOVA test for a collection of category data, evaluating the null hypothesis that there is no difference among the means of the data categories.
TTest - Class in org.apache.commons.statistics.inference: Implements Student's t-test statistics.
TTest.Result - Class in org.apache.commons.statistics.inference: Result for the t-test.
TWO_SIDED - org.apache.commons.statistics.inference.AlternativeHypothesis: Represents a two-sided test.

U

UnconditionedExactTest - Class in org.apache.commons.statistics.inference: Implements an unconditioned exact test for a contingency table.
UnconditionedExactTest.Method - Enum in org.apache.commons.statistics.inference: Define the method to determine the more extreme tables.
UnconditionedExactTest.Result - Class in org.apache.commons.statistics.inference: Result for the unconditioned exact test.

V

valueOf(String) - Static method in enum org.apache.commons.statistics.inference.AlternativeHypothesis: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.apache.commons.statistics.inference.ContinuityCorrection: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.apache.commons.statistics.inference.DataDispersion: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.apache.commons.statistics.inference.Inequality: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.apache.commons.statistics.inference.PValueMethod: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.apache.commons.statistics.inference.UnconditionedExactTest.Method: Returns the enum constant of this type with the specified name.
values() - Static method in enum org.apache.commons.statistics.inference.AlternativeHypothesis: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.apache.commons.statistics.inference.ContinuityCorrection: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.apache.commons.statistics.inference.DataDispersion: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.apache.commons.statistics.inference.Inequality: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.apache.commons.statistics.inference.PValueMethod: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.apache.commons.statistics.inference.UnconditionedExactTest.Method: Returns an array containing the constants of this enum type, in the order they are declared.

W

WilcoxonSignedRankTest - Class in org.apache.commons.statistics.inference: Implements the Wilcoxon signed-rank test.
WilcoxonSignedRankTest.Result - Class in org.apache.commons.statistics.inference: Result for the Wilcoxon signed-rank test.
with(UniformRandomProvider) - Method in class org.apache.commons.statistics.inference.KolmogorovSmirnovTest: Return an instance with the configured source of randomness.
with(AlternativeHypothesis) - Method in class org.apache.commons.statistics.inference.BinomialTest: Return an instance with the configured alternative hypothesis.
with(AlternativeHypothesis) - Method in class org.apache.commons.statistics.inference.FisherExactTest: Return an instance with the configured alternative hypothesis.
with(AlternativeHypothesis) - Method in class org.apache.commons.statistics.inference.KolmogorovSmirnovTest: Return an instance with the configured alternative hypothesis.
with(AlternativeHypothesis) - Method in class org.apache.commons.statistics.inference.MannWhitneyUTest: Return an instance with the configured alternative hypothesis.
with(AlternativeHypothesis) - Method in class org.apache.commons.statistics.inference.TTest: Return an instance with the configured alternative hypothesis.
with(AlternativeHypothesis) - Method in class org.apache.commons.statistics.inference.UnconditionedExactTest: Return an instance with the configured alternative hypothesis.
with(AlternativeHypothesis) - Method in class org.apache.commons.statistics.inference.WilcoxonSignedRankTest: Return an instance with the configured alternative hypothesis.
with(ContinuityCorrection) - Method in class org.apache.commons.statistics.inference.MannWhitneyUTest: Return an instance with the configured continuity correction.
with(ContinuityCorrection) - Method in class org.apache.commons.statistics.inference.WilcoxonSignedRankTest: Return an instance with the configured continuity correction.
with(DataDispersion) - Method in class org.apache.commons.statistics.inference.TTest: Return an instance with the configured assumption on the data dispersion.
with(Inequality) - Method in class org.apache.commons.statistics.inference.KolmogorovSmirnovTest: Return an instance with the configured inequality.
with(PValueMethod) - Method in class org.apache.commons.statistics.inference.KolmogorovSmirnovTest: Return an instance with the configured p-value method.
with(PValueMethod) - Method in class org.apache.commons.statistics.inference.MannWhitneyUTest: Return an instance with the configured p-value method.
with(PValueMethod) - Method in class org.apache.commons.statistics.inference.WilcoxonSignedRankTest: Return an instance with the configured p-value method.
with(UnconditionedExactTest.Method) - Method in class org.apache.commons.statistics.inference.UnconditionedExactTest: Return an instance with the configured method.
withDefaults() - Static method in class org.apache.commons.statistics.inference.BinomialTest: Return an instance using the default options.
withDefaults() - Static method in class org.apache.commons.statistics.inference.ChiSquareTest: Return an instance using the default options.
withDefaults() - Static method in class org.apache.commons.statistics.inference.FisherExactTest: Return an instance using the default options.
withDefaults() - Static method in class org.apache.commons.statistics.inference.GTest: Return an instance using the default options.
withDefaults() - Static method in class org.apache.commons.statistics.inference.KolmogorovSmirnovTest: Return an instance using the default options.
withDefaults() - Static method in class org.apache.commons.statistics.inference.MannWhitneyUTest: Return an instance using the default options.
withDefaults() - Static method in class org.apache.commons.statistics.inference.OneWayAnova: Return an instance using the default options.
withDefaults() - Static method in class org.apache.commons.statistics.inference.TTest: Return an instance using the default options.
withDefaults() - Static method in class org.apache.commons.statistics.inference.UnconditionedExactTest: Return an instance using the default options.
withDefaults() - Static method in class org.apache.commons.statistics.inference.WilcoxonSignedRankTest: Return an instance using the default options.
withDegreesOfFreedomAdjustment(int) - Method in class org.apache.commons.statistics.inference.ChiSquareTest: Return an instance with the configured degrees of freedom adjustment.
withDegreesOfFreedomAdjustment(int) - Method in class org.apache.commons.statistics.inference.GTest: Return an instance with the configured degrees of freedom adjustment.
withInitialPoints(int) - Method in class org.apache.commons.statistics.inference.UnconditionedExactTest: Return an instance with the configured number of initial points.
withIterations(int) - Method in class org.apache.commons.statistics.inference.KolmogorovSmirnovTest: Return an instance with the configured number of iterations.
withMu(double) - Method in class org.apache.commons.statistics.inference.MannWhitneyUTest: Return an instance with the configured location shift mu.
withMu(double) - Method in class org.apache.commons.statistics.inference.TTest: Return an instance with the configured mu.
withMu(double) - Method in class org.apache.commons.statistics.inference.WilcoxonSignedRankTest: Return an instance with the configured expected difference mu.
withOptimize(boolean) - Method in class org.apache.commons.statistics.inference.UnconditionedExactTest: Return an instance with the configured optimization of initial search points.

Z

Z_POOLED - org.apache.commons.statistics.inference.UnconditionedExactTest.Method: Uses the test statistic from a Z-test using a pooled variance.
Z_UNPOOLED - org.apache.commons.statistics.inference.UnconditionedExactTest.Method: Uses the test statistic from a Z-test using an unpooled variance.

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