Joint Hypothesis Test

CHI2TEST: Single sample Pearson Chi Square goodness-of-fit hypothesis test.H=CHI2TEST(X,ALPHA) performs the particular case of Pearson Chi Square test to determine whether the null hypothesis of composite normality PDF is a reasonable assumption regarding the population distribution of a random...

Single sample Smirnov-Cramer-Von Mises goodness-of-fit hypothesis test.H = MTEST(X,ALPHA) performs the particular case of Smirnov-Cramer-Von Mises test to determine whether the null hypothesis of composite normality CDF is a reasonable assumption regarding the population distribution of a random...

GTEST: Single sample Geary goodness-of-fit hypothesis test.H=GTEST(X,ALPHA) performs the Geary test to determine whether the null hypothesis of composite normality PDF is a reasonable assumption regarding the population distribution of a random sample X with the desired significance level ALPHA.H...


Platforms: Matlab

Shapiro-Wilk parametric hypothesis test of composite normality, for sample size 3


Platforms: Matlab

Comparison of two survival curves can be done using a statistical hypothesis test called the log rank test. It is used to test the null hypothesis that there is no difference between the population survival curves (i.e. the probability of an event occurring at any time point is the same for each...


Platforms: Matlab

Single Sample Kupier Goodness-Of-Fit Hypothesis Test. Similar to Kolmogorov-Smirnov (K-S) test, but (K-S) test tend to be most sensitive around median value of the distribution and less sensitive at the distribution tails.Doesn't require any Toolbox.Find if the random sample X could have the...


Platforms: Matlab

This was inspired by kstest2 from the matlab statistics toolbox.Works from medium to large sample sizes, look at the references in the code


Platforms: Matlab

CHI2RAYLTEST: Single sample Pearson Chi Square goodness-of-fit statistical test to examine a null hypothesis of Rayleigh Channel.H=CHI2RAYLTEST(X,ALPHA) performs the particular case of Pearson Chi Squaretest to determine whether the null hypothesis of a Rayleigh channel realization is a...


Platforms: Matlab

Grubb's outlier test can be used to remove one outlier (see deleteoutliers.m by Brett Schoelson). If you decide to remove this outlier, you might be tempted to run Grubbs' test again to see if there is a second outlier in your data. However, if you do this, you cannot use the same rejection...


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

TAHI Test Suite provides a mechanism for validating an IPv6 implementation against a standardized test for conformance to the IPv6 specification, extensions and directly related protocols. TAHI Project is the joint effort formed with the objective of developing and providing the verification...


Platforms: *nix

GRANGER_CAUSE is a Granger Causality Test. The null hypothesis is that the y does not Granger Cause x. A user specifies the two series, x and y, along with the significance level and the maximum number of lags to be considered. The function chooses the optimal lag length for x and y based on the...


Platforms: Matlab

H = COCHRANQTEST(X) performs the non-parametric Cochran's Q-test on the hypothesis that the K columns of N-by-K matrix have the same number of successes and failures. H==0 indicates that the null hypothesis cannot be rejected at the 5 significance level. H==1 indicates that the null hypothesis...


Platforms: Matlab

Performs the nonparametric squared ranks test on quality of variance for two samples. Based on Conover (1981), 'Practical Nonparametric Statistics', pp. 239-248.Uses normal approximation for for m >10 (MATLAB fxn norminv or table if norminv unavailable). Uses normal approximation if ties exist....


Platforms: Matlab

As you know, the Student t-test can be used only to compare two groups. When you have k groups you can't use a t-test for each couple because, if you have fixed alpha=0.05 for each t-test, there is a probability of k*0.05 to find a difference when it isn't (Bonferroni inequality).The Holm-Sidak...


Platforms: Matlab

This function provides a Wilcoxon-type test for trend across a group of three or more independent random samples.Assumptions:- Data must be at least ordinal- Groups must be selected in a meaningful order i.e. orderedIf you do not choose to enter your own group scores then scores are allocated...


Platforms: Matlab

Permutation test of the null hypothesis that a set of data was sampled from a symmetric distribution with a particular mean. The test is based on a t-statistic and can be applied to situations in which a one sample or paired sample/repeated measures t-test is appropriate. Note, that this test is...


Platforms: Matlab

Web page test automation tool. Fully written in Javascript and HTML set of tools, that fully simulate user walking through your pages. Allows you to set form fields, Verify value, position and related html source for specified text, handle alert and confirms, test new browser windows opened from...


Platforms: Windows, Windows CE

Test constructor is a universal program for testing knowledge. The program can be used to perform testing both at home and various educational institutions. The program allows using an unlimited number of topics, questions and answers. Test constructor supports five types of questions, which...


Platforms: Windows

It has never been easier to be a teacher and create and grade tests as it is now with Markosoft's Test Creator and Test Taker applications. With the Test Creator, you can effortlessly build tests that include multiple choice, true/false, short answer, and essay questions and the tests can either...


Platforms: Windows