Null Hypothesis

Executes the Benjamini & Hochberg (1995) procedure for controlling the false discovery rate (FDR) of a family of hypothesis tests. FDR is the expected proportion of rejected hypotheses that are mistakenly rejected (i.e., the null hypothesis is actually true for those tests). FDR is generally a...

The Anderson-Darling test (Anderson and Darling, 1952) is used to test if a sample of data comes from a specific distribution. It is a modification of the Kolmogorov-Smirnov (K-S) test and gives more weight to the tails than the K-S test. The K-S test is distribution free in the sense that the...

Statistics::TTest is a Perl module to perform T-test on 2 independent samples. Statistics::TTest::Sufficient - Perl module to perfrom T-Test on 2 indepdent samples using sufficient statistics SYNOPSIS #example for Statistics::TTest use Statistics::PointEstimation; use Statistics::TTest;...


Platforms: *nix

Performs Mantel-Haenszel's test for k strata of 2x2 tables.Mantel and Haenszel proposed this asymptotic test based on the chi-2 distribution. Assuming no three-way interaction (k independent strata). Ref.: DeltaProt toolbox at http://services.cbu.uib.no/software/deltaprot/Input: X: data matrix...


Platforms: Matlab

The code performs two tailed Mann-Kendall test modified to account for autocorrelation on the time series (Hamed and Rao, 1998).The null hypothesis of trend absence in the vector V is tested, against the alternative of trend. The result of the test is returned in H = 1 indicates a rejection of...


Platforms: Matlab

The code performs original two tailed Mann-Kendall test. It tests the null hypothesis of trend absence in the vector V, against the alternative of trend.The result of the test is returned in H = 1 indicates a rejection of the null hypothesis at the alpha significance level. H = 0 indicates a...


Platforms: Matlab

This m-file performs the conditional as well as the Chi-squared corrected for discontinuity McNemar's exact test for two dependent (correlated) samples that can occur in matched-pair studies with a dichotomous (yes-no) response. Dependent samples can also occur when the same subject is measured...


Platforms: Matlab

This function can calculate any of the 6 different ICCs defined by McGraw as well as their confidence intervals. In addition a hypothesis test is performed with the null hypothesis that ICC = r0. This function calls anova_rm (provided inside the zip file).Syntax:[r, LB, UB, F, df1, df2, p] =...


Platforms: Matlab

Chi-square tests of homogeneity and independence.Computes the P-value for I x J - table row/col independence.Ref.: DeltaProt toolbox at http://services.cbu.uib.no/software/deltaprot/Input:X: data matrix (I x J -table) of the observed frequency cells.method: 'RC': Read-Cressie power divergence...


Platforms: Matlab

FISHERTEST - Fisher Exact test for 2-x-2 contingency tables H = FISHERTEST(M) performs the non-parametric Fisher exact probability test on a 2-by-2 contingency table described by M, and returns the result in H. It calculates the exact probability of observing the given and more extreme...


Platforms: Matlab

The code performs a version of two tailed Cox-Stuart test. It tests the null hypothesis of trend absence in the vector V, against the alternative of trend.The result of the test is returned in H = 1 indicates a rejection of the null hypothesis at the alpha significance level. H = 0 indicates a...


Platforms: Matlab

Henze and Zirkler (1990) introduce a multivariate version of the univariate There are many tests for assessing the multivariate normality in the statistical literature (Mecklin and Mundfrom, 2003). Unfortunately, there is no known uniformly most powerful test and it is recommended to perform...


Platforms: Matlab

One-sample repeated measures is used to analyze the relationship between the independent variable and dependent variable when:(1) the dependent variable is quantitative in nature and is measured on a level that at least approximates interval characteristics, (2) the independent variable is...


Platforms: Matlab

A statistical analysis used for count data is to compare the proportions of a binary outcome of interest for two or more groups.This m-file it is an implemented alternative to the Marascuillo's test and identifies significant pairwise contrasts that this last one does not. If the previously...


Platforms: Matlab

This m-file performs the Bowker's test for symmetry. It is an extension of the McNemar test to a KxK situation. There are now K response categories for the two dependent samples.The null hypothesis is that the probabilities in the square table satisfy symmetry or that there is no sifnificant...


Platforms: Matlab

This test performs an odds ratio inference for k strata of 2x2 tables. Mantel and Haenszel (1959) proposed an approximate test of the null hypothesis which specifies that within each stratum, the success probabilities are equal. This is the same to test that there is a common odds ratio and it is...


Platforms: Matlab

Comparision of simple linear regression equations without data. As well as the before file arsos.m this procedure is suffice to test the homogeneity of k regression coefficients (Ho: b1 = b2 =...= bk). It do not needs to input data, but the sample statistics as sample size, regression...


Platforms: Matlab

The bootstrap is a way of estimating the variability of a statistic from a single data set by resampling it independently and with equal probabilities (Monte Carlo resampling). Allows the estimation of measures where the underlying distribution is unknown or where sample sizes are small. Their...


Platforms: Matlab

The bootstrap is a way of estimating the variability of a statistic from a single data set by resampling it independently and with equal probabilities (Monte Carlo resampling). Allows the estimation of measures where the underlying distribution is unknown or where sample sizes are small. Their...


Platforms: Matlab

USAGE: noise=fftnoise(f[,Nseries]) INPUTS: f: the fft of a time series (must be a column vector) Nseries: number of noise series to generate. (default=1) OUTPUT: noise: surrogate series with same power spectrum as f. (each column is a surrogate). ------ Example: ------ %calculate if the trend is...


Platforms: Matlab