Search Java Classes and Packages

Search Java Frameworks and Libraries

255581 classes and counting ...
Search Tips Index Status



#Com.numericalmethod.suanshu.stats.test Classes and Interfaces - 56 results found.
NameDescriptionTypePackageFramework
ADFAsymptoticDistributionThis class computes the asymptotic distribution of the Augmented Dickey-Fuller (ADF) test There are three main versions of the test and thus three possible asymptotic distributions:Classcom.numericalmethod.suanshu.stats.test.timeseries.adfSuanShu
ADFAsymptoticDistribution1This is the asymptotic distribution of the Augmented Dickey-Fuller test statistic, for the TrendType.Classcom.numericalmethod.suanshu.stats.test.timeseries.adfSuanShu
ADFAsymptoticDistribution1 .Typethe available types of Dickey-Fuller teststhe augmented version of theClasscom.numericalmethod.suanshu.stats.test.timeseries.adfSuanShu
ADFDistributionThis represents an Augmented Dickey Fuller distribution.Classcom.numericalmethod.suanshu.stats.test.timeseries.adfSuanShu
ADFDistributionTableA table contains the simulated observations/values of an empirical ADF distribution for a given set of parameters.Classcom.numericalmethod.suanshu.stats.test.timeseries.adf.tableSuanShu
ADFDistributionTable_CONSTANT_lag0This table contains the quantile values of both finite (for various sample sizes) and infinite (asymptotic) distributions of the Augmented Dicky Fuller test statistics for theClasscom.numericalmethod.suanshu.stats.test.timeseries.adf.tableSuanShu
ADFDistributionTable_CONSTANT_TIME_lag0This table contains the quantile values of both finite (for various sample sizes) and infinite (asymptotic) distributions of the Augmented Dicky Fuller test statistics for theClasscom.numericalmethod.suanshu.stats.test.timeseries.adf.tableSuanShu
ADFDistributionTable_NO_CONSTANT_lag0This table contains the quantile values of both finite (for various sample sizes) and infinite (asymptotic) distributions of the Augmented Dicky Fuller test statistics for theClasscom.numericalmethod.suanshu.stats.test.timeseries.adf.tableSuanShu
ADFFiniteSampleDistributionThis class computes the finite sample distribution of the Augmented Dickey-Fuller (ADF) test There are three main versions of the test and thus three possible asymptotic distributions:Classcom.numericalmethod.suanshu.stats.test.timeseries.adfSuanShu
AndersonDarlingThis algorithm calculates the Anderson-Darling k-sample test statistics and p-values.Classcom.numericalmethod.suanshu.stats.test.distributionSuanShu
AndersonDarlingPValueThis algorithm calculates the p-value when the Anderson-Darling statistic and the number of samples are given.Classcom.numericalmethod.suanshu.stats.test.distributionSuanShu
AS159Algorithm AS 159 accepts a table shape (the number of rows and columns), and two vectors, the lists of row and column sums.Classcom.numericalmethod.suanshu.stats.test.distribution.pearsonSuanShu
AS159 .RandomMatrixClasscom.numericalmethod.suanshu.stats.test.distribution.pearsonSuanShu
AugmentedDickeyFullerThe Augmented Dickey Fuller test tests whether a one-time differencing (d = 1) will make the time That is, whether the series has a unit root.Classcom.numericalmethod.suanshu.stats.test.timeseries.adfSuanShu
BartlettBartlett's test is used to test if k samples are from populations with equal variances, hence homoscedasticity.Classcom.numericalmethod.suanshu.stats.test.varianceSuanShu
BoxPierceThe Box-Pierce test (named for George E.Classcom.numericalmethod.suanshu.stats.test.timeseries.portmanteauSuanShu
BreuschPaganThe Breusch-Pagan test tests for conditional heteroskedasticity.Classcom.numericalmethod.suanshu.stats.test.regression.linear.heteroskedasticitySuanShu
BrownForsytheThe 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.Classcom.numericalmethod.suanshu.stats.test.varianceSuanShu
ChiSquareIndependenceTestPearson's chi-square test of independence assesses whether paired observations on two variables, expressed in a contingency table, are independent of each other.Classcom.numericalmethod.suanshu.stats.test.distribution.pearsonSuanShu
ChiSquareIndependenceTest .Typethe available distributions used for the testThe default is the asymptotic distribution of Fisher's exact test.Classcom.numericalmethod.suanshu.stats.test.distribution.pearsonSuanShu
CramerVonMises2SamplesThis algorithm calculates the two sample Cramer-Von Mises test statistic and p-value.Classcom.numericalmethod.suanshu.stats.test.distributionSuanShu
DAgostinoD'Agostino's K2 test is a goodness-of-fit measure of departure from normality.Classcom.numericalmethod.suanshu.stats.test.distribution.normalitySuanShu
FThe F-test tests whether two normal populations have the same variance.Classcom.numericalmethod.suanshu.stats.test.varianceSuanShu
FisherExactDistributionFisher's exact test distribution is, as its name states, exact, and can therefore be used regardless of the sample characteristics.Classcom.numericalmethod.suanshu.stats.test.distribution.pearsonSuanShu
GlejserThe Glejser test tests for conditional heteroskedasticity.Classcom.numericalmethod.suanshu.stats.test.regression.linear.heteroskedasticitySuanShu
HarveyGodfreyThe Harvey-Godfrey test tests for conditional heteroskedasticity.Classcom.numericalmethod.suanshu.stats.test.regression.linear.heteroskedasticitySuanShu
HeteroskedasticityA 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).Classcom.numericalmethod.suanshu.stats.test.regression.linear.heteroskedasticitySuanShu
HypothesisTestA statistical hypothesis test is a method of making decisions using experimental data.Classcom.numericalmethod.suanshu.stats.testSuanShu
JarqueBeraThe Jarque-Bera test is a goodness-of-fit measure of departure from normality, based on the sample kurtosis and skewness.Classcom.numericalmethod.suanshu.stats.test.distribution.normalitySuanShu
JarqueBeraDistributionJarque-Bera distribution is the distribution of the Jarque-Bera statistics, which measures the departure from normality.Classcom.numericalmethod.suanshu.stats.test.distribution.normalitySuanShu
KolmogorovDistributionThe Kolmogorov distribution is the distribution of the Kolmogorov-Smirnov statistic.Classcom.numericalmethod.suanshu.stats.test.distribution.kolmogorovSuanShu
KolmogorovOneSidedDistributionClasscom.numericalmethod.suanshu.stats.test.distribution.kolmogorovSuanShu
KolmogorovSmirnovThe 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).Classcom.numericalmethod.suanshu.stats.test.distribution.kolmogorovSuanShu
KolmogorovSmirnov .Sidethe available types of the Kolmogorov-Smirnov statistic check whether the cdf of a sample lies above the null hypothesisClasscom.numericalmethod.suanshu.stats.test.distribution.kolmogorovSuanShu
KolmogorovSmirnov .Typethe available types of the Kolmogorov-Smirnov teststhe one-sample Kolmogorov-Smirnov testClasscom.numericalmethod.suanshu.stats.test.distribution.kolmogorovSuanShu
KolmogorovSmirnov1SampleThe one-sample Kolmogorov-Smirnov test (one-sample KS test) compares a sample with a reference probability distribution.Classcom.numericalmethod.suanshu.stats.test.distribution.kolmogorovSuanShu
KolmogorovSmirnov2SamplesThe two-sample Kolmogorov-Smirnov test (two-sample KS test) tests for the equality of the distributions of two samples.Classcom.numericalmethod.suanshu.stats.test.distribution.kolmogorovSuanShu
KolmogorovTwoSamplesDistributionCompute the p-values for the generalized (conditionally distribution-free) Smirnov homogeneity test.Classcom.numericalmethod.suanshu.stats.test.distribution.kolmogorovSuanShu
KolmogorovTwoSamplesDistribution .Sidethe available types of Kolmogorov-Smirnov two-sample testtwo-sample; two-sidedClasscom.numericalmethod.suanshu.stats.test.distribution.kolmogorovSuanShu
KruskalWallisThe Kruskal-Wallis test is a non-parametric method for testing the equality of population medians among groups.Classcom.numericalmethod.suanshu.stats.test.rankSuanShu
LeveneThe Levene test tests for the equality of variance of groups.Classcom.numericalmethod.suanshu.stats.test.varianceSuanShu
Levene .Typethe available implementations when computing the absolute deviationscompute the absoluteClasscom.numericalmethod.suanshu.stats.test.varianceSuanShu
LillieforsLilliefors test tests the null hypothesis that data come from a normally distributed population with an estimated sample mean and variance.Classcom.numericalmethod.suanshu.stats.test.distribution.normalitySuanShu
LjungBoxThe Ljung-Box test (named for Greta M.Classcom.numericalmethod.suanshu.stats.test.timeseries.portmanteauSuanShu
OneWayANOVAThe One-Way ANOVA test tests for the equality of the means of several groups.Classcom.numericalmethod.suanshu.stats.test.meanSuanShu
ShapiroWilkThe Shapiro-Wilk test tests the null hypothesis that a sample comes from a normally distributed population.Classcom.numericalmethod.suanshu.stats.test.distribution.normalitySuanShu
ShapiroWilkDistributionShapiro-Wilk distribution is the distribution of the Shapiro-Wilk statistics, which tests the null hypothesis that a sample comes from a normally distributed population.Classcom.numericalmethod.suanshu.stats.test.distribution.normalitySuanShu
SiegelTukeyThe Siegel-Tukey test tests for differences in scale (variability) between two groups.Classcom.numericalmethod.suanshu.stats.test.rankSuanShu
TStudent's t-test tests for the equality of means, for the one-sample case, against a hypothetical mean,Classcom.numericalmethod.suanshu.stats.test.meanSuanShu
TrendTypeThese are the three versions of the Augmented Dickey-Fuller (ADF) test.Classcom.numericalmethod.suanshu.stats.test.timeseries.adfSuanShu
VanDerWaerdenThe Van der Waerden test tests for the equality of all population distribution functions.Classcom.numericalmethod.suanshu.stats.test.rankSuanShu
WhiteThe White test tests for conditional heteroskedasticity.Classcom.numericalmethod.suanshu.stats.test.regression.linear.heteroskedasticitySuanShu
WilcoxonRankSumThe Wilcoxon rank sum test tests for the equality of means of two populations, or whether the means differ by an offset.Classcom.numericalmethod.suanshu.stats.test.rank.wilcoxonSuanShu
WilcoxonRankSumDistributionCompute the exact distribution of the Wilcoxon rank sum test statistic.Classcom.numericalmethod.suanshu.stats.test.rank.wilcoxonSuanShu
WilcoxonSignedRankThe Wilcoxon signed rank test tests, for the one-sample case, the median of the distribution against a hypothetical median, andClasscom.numericalmethod.suanshu.stats.test.rank.wilcoxonSuanShu
WilcoxonSignedRankDistributionCompute the exact distribution of the Wilcoxon signed rank test statistic.Classcom.numericalmethod.suanshu.stats.test.rank.wilcoxonSuanShu