Uses of Class
dev.nm.stat.test.HypothesisTest
-
-
Uses of HypothesisTest in dev.nm.stat.factor.factoranalysis
Subclasses of HypothesisTest in dev.nm.stat.factor.factoranalysis Modifier and Type Class Description classFAEstimatorThese are the estimators (estimated psi, loading matrix, scores, degrees of freedom, test statistics, p-value, etc.) from the factor analysis MLE optimization. -
Uses of HypothesisTest in dev.nm.stat.test.distribution
Subclasses of HypothesisTest in dev.nm.stat.test.distribution Modifier and Type Class Description classAndersonDarlingThis algorithm calculates the Anderson-Darling k-sample test statistics and p-values.classCramerVonMises2SamplesThis algorithm calculates the two sample Cramer-Von Mises test statistic and p-value. -
Uses of HypothesisTest in dev.nm.stat.test.distribution.kolmogorov
Subclasses of HypothesisTest in dev.nm.stat.test.distribution.kolmogorov Modifier and Type Class Description classKolmogorovSmirnovThe Kolmogorov-Smirnov test (KS test) compares a sample with a reference probability distribution (one-sample KS test), or to compare two samples (two-sample KS test).classKolmogorovSmirnov1SampleThe one-sample Kolmogorov-Smirnov test (one-sample KS test) compares a sample with a reference probability distribution.classKolmogorovSmirnov2SamplesThe two-sample Kolmogorov-Smirnov test (two-sample KS test) tests for the equality of the distributions of two samples. -
Uses of HypothesisTest in dev.nm.stat.test.distribution.normality
Subclasses of HypothesisTest in dev.nm.stat.test.distribution.normality Modifier and Type Class Description classDAgostinoD'Agostino's K2 test is a goodness-of-fit measure of departure from normality.classJarqueBeraThe Jarque-Bera test is a goodness-of-fit measure of departure from normality, based on the sample kurtosis and skewness.classLillieforsLilliefors test tests the null hypothesis that data come from a normally distributed population with an estimated sample mean and variance.classShapiroWilkThe Shapiro-Wilk test tests the null hypothesis that a sample comes from a normally distributed population. -
Uses of HypothesisTest in dev.nm.stat.test.distribution.pearson
Subclasses of HypothesisTest in dev.nm.stat.test.distribution.pearson Modifier and Type Class Description classChiSquareIndependenceTestPearson's chi-square test of independence assesses whether paired observations on two variables, expressed in a contingency table, are independent of each other. -
Uses of HypothesisTest in dev.nm.stat.test.mean
Subclasses of HypothesisTest in dev.nm.stat.test.mean Modifier and Type Class Description classOneWayANOVAThe One-Way ANOVA test tests for the equality of the means of several groups.classTStudent's t-test tests for the equality of means, for the one-sample case, against a hypothetical mean, and for two-sample case, of two populations. -
Uses of HypothesisTest in dev.nm.stat.test.rank
Subclasses of HypothesisTest in dev.nm.stat.test.rank Modifier and Type Class Description classKruskalWallisThe Kruskal-Wallis test is a non-parametric method for testing the equality of population medians among groups.classSiegelTukeyThe Siegel-Tukey test tests for differences in scale (variability) between two groups.classVanDerWaerdenThe Van der Waerden test tests for the equality of all population distribution functions. -
Uses of HypothesisTest in dev.nm.stat.test.rank.wilcoxon
Subclasses of HypothesisTest in dev.nm.stat.test.rank.wilcoxon Modifier and Type Class Description classWilcoxonRankSumThe Wilcoxon rank sum test tests for the equality of means of two populations, or whether the means differ by an offset.classWilcoxonSignedRankThe Wilcoxon signed rank test tests, for the one-sample case, the median of the distribution against a hypothetical median, and for the two-sample case, the equality of medians of groups. -
Uses of HypothesisTest in dev.nm.stat.test.regression.linear.heteroskedasticity
Subclasses of HypothesisTest in dev.nm.stat.test.regression.linear.heteroskedasticity Modifier and Type Class Description classBreuschPaganThe Breusch-Pagan test tests for conditional heteroskedasticity.classGlejserThe Glejser test tests for conditional heteroskedasticity.classHarveyGodfreyThe Harvey-Godfrey test tests for conditional heteroskedasticity.classHeteroskedasticityA heteroskedasticity test tests, for a linear regression model, whether the estimated variance of the residuals from a regression is dependent on the values of the independent variables (regressors).classWhiteThe White test tests for conditional heteroskedasticity. -
Uses of HypothesisTest in dev.nm.stat.test.timeseries.adf
Subclasses of HypothesisTest in dev.nm.stat.test.timeseries.adf Modifier and Type Class Description classAugmentedDickeyFullerThe Augmented Dickey Fuller test tests whether a one-time differencing (d = 1) will make the time series stationary. -
Uses of HypothesisTest in dev.nm.stat.test.timeseries.portmanteau
Subclasses of HypothesisTest in dev.nm.stat.test.timeseries.portmanteau Modifier and Type Class Description classBoxPierceDeprecated.useLjungBoxclassLjungBoxThe Ljung-Box test (named for Greta M. -
Uses of HypothesisTest in dev.nm.stat.test.variance
Subclasses of HypothesisTest in dev.nm.stat.test.variance Modifier and Type Class Description classBartlettBartlett's test is used to test ifksamples are from populations with equal variances, hence homoscedasticity.classBrownForsytheThe Brown-Forsythe test is a statistical test for the equality of group variances based on performing an ANOVA on a transformation of the response variable.classFThe F-test tests whether two normal populations have the same variance.classLeveneThe Levene test tests for the equality of variance of groups.
-