Bayes tests for r by c contingency tables and for other categories problems: please click on bayesCategories.htm.
Frequentist non-parametric tests for symmetry around zero: please click on symmetryAroundZero.htm.
A frequentist non-parametric test for the two-sample problem, using permutations. Ties are handled correctly. Please click on twoSample.htm. This test can be slow.
A frequentist non-parametric test for correlation, using permutations. Ties are handled correctly. Please click on correlationPermutation.htm. This test can be slow.
Bayes and frequentist tests for the population means of non-negative populations: please click on martMean.htm.
Frequentist and Bayes conditional tests for counts models having one degree of freedom: please click on wdf.htm.
Leave-out-one cross-validations for: central tendency, least-squares line, multinomial, contingency with structural zeroes, k-sample, blocks-and-treatments inference with missing and supernumerary measurements, and interval estimation. Please click on crossValidate.htm.
A program to work Fisher’s combination of independent p-values, corrected for file-drawer effect. Perhaps meta-analysts may find it useful. Please click on FishCombFileDraw.htm.
An animation in pure JavaScript using a crude form of Daniel Asimov’s Grand Tour algorithm to show data in higher dimensional spaces. The Microsoft Internet Explorer cannot run this. Netscape and Firefox and Opera and Safari can. Please click on grandTour.htm
Every statistics teacher warns us against constructing the formula(s) of a hypothesis test by looking at the sample, and all students and all statisticians disobey the teacher. The students and the statisticians are unknowingly trying to do multiple inference, so I use a Bonferroni correction with infinitely many weights to help them. Please click on jsBonfer.htm
Smirnov’s exact (nonasymptotic) one-sample one-sided test of fit using the sample distribution function. (Kolmogorov’s test is two-sided.) Please click on Smirnov1.htm
Holm’s method to correct p-values for multiple testing. This is usually more powerful than the Bonferroni correction, and never less powerful, and the Holm may be used wherever the Bonferroni may be used. Please click on Holmed.htm.
A speedy frequentist nonparametric nonasymptotic optional-stopping small-sample Java applet for comparison of two or more treatments in the presence of right-censoring. The null hypothesis asserts that the population survival curves (but perhaps not the population censorship curves) are the same. The result is a p-value. Please click on MartingaleCensorTestHelp.htm.
A speedy frequentist nonparametric nonasymptotic simultaneous-inference small-sample Kaplan-Meier Java applet. This calculates a confidence band for the survival function. The value of “alpha” is adjustable. Please click on CensorSmallSampleHelp.htm.
A speedy frequentist nonparametric nonasymptotic small-sample test for the k-sample problem. The null hypothesis is the weakest that I know: “The numbers in each sample are drawn independently at random from that samples’s population. That population is infinite. There exists a number which is a common median for all the different populations.” In particular, the test behaves correctly in the presence of heteroskedasticity. Please click on KSampleTest.htm.
A frequentist Monte Carlo test for blocks and treatments, where by null hypothesis the distributions in the same block are symmetric around the same center. It uses Tukey’s simultaneous test for pairs of treatments, but it is nonparametric. It can handle heteroskedasticity (inequality of variances) correctly, because it reverses signs instead of shuffling. It can handle unsymmetry correctly, provided that distributions in the same block are exchangeable and continuous, by the use of ranks. (Ranks will then cause symmetry.) Please click on BlockTreatTukey.htm.
A frequentist Monte Carlo test for blocks and treatments. Yes, it can do missing values and supernumerary values, and related tests. It expects the distributions in the same block to be exchangeable, hence homoskedastic. Please click on http://www.toad.net/~jkaplan2/BlockTreat.htm. BlockTreat is not an applet. It is a stand-alone console program.
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