NAG Fortran Library

G08 – Nonparametric Statistics

G08 Chapter Introduction

Routine
Name
Mark of
Introduction

Purpose
G08AAF Example Text Example Data 8 Sign test on two paired samples
G08ACF Example Text Example Data 8 Median test on two samples of unequal size
G08AEF Example Text Example Data 8 Friedman two-way analysis of variance on k matched samples
G08AFF Example Text Example Data 8 Kruskal–Wallis one-way analysis of variance on k samples of unequal size
G08AGF Example Text Example Data 14 Performs the Wilcoxon one-sample (matched pairs) signed rank test
G08AHF Example Text Example Data 14 Performs the Mann–Whitney U test on two independent samples
G08AJF Example Text Example Data 14 Computes the exact probabilities for the Mann–Whitney U statistic, no ties in pooled sample
G08AKF Example Text Example Data 14 Computes the exact probabilities for the Mann–Whitney U statistic, ties in pooled sample
G08ALF Example Text Example Data 15 Performs the Cochran Q test on cross-classified binary data
G08BAF Example Text Example Data 8 Mood's and David's tests on two samples of unequal size
G08CBF Example Text Example Data 14 Performs the one-sample Kolmogorov–Smirnov test for standard distributions
G08CCF Example Text Example Data 14 Performs the one-sample Kolmogorov–Smirnov test for a user-supplied distribution
G08CDF Example Text Example Data 14 Performs the two-sample Kolmogorov–Smirnov test
G08CGF Example Text Example Data 14 Performs the χ2 goodness of fit test, for standard continuous distributions
G08DAF Example Text Example Data 8 Kendall's coefficient of concordance
G08EAF Example Text 14 Performs the runs up or runs down test for randomness
G08EBF Example Text 14 Performs the pairs (serial) test for randomness
G08ECF Example Text 14 Performs the triplets test for randomness
G08EDF Example Text 14 Performs the gaps test for randomness
G08RAF Example Text Example Data 12 Regression using ranks, uncensored data
G08RBF Example Text Example Data 12 Regression using ranks, right-censored data

Table of Contents
© The Numerical Algorithms Group Ltd, Oxford UK. 2002