Empirical study of some non-parametric tests for dispersion of correlated data

Autor:	William D. Bell, Wai-Kee Li, Stuart M. Rothstein
Rok vydání:	1982
Předmět:	Statistics and Probability Empirical research Robustness (computer science) Applied Mathematics Modeling and Simulation Statistics Nonparametric statistics Statistics Probability and Uncertainty Mathematics Type I and type II errors
Zdroj:	Journal of Statistical Computation and Simulation. 15:9-15
ISSN:	1563-5163 0094-9655
DOI:	10.1080/00949658208810559
Popis:	Results of a computer simulation study of power and robustness of three competitor tests for comparing scales, for use with correlated data: Rothstein, Richardson and Bell (RRB), Arvesen, and Pitman, are presented. It is found that unless one could improve the approximate null distributions for Arvesen's and Pitman's test, RRB's procedure is best, having simulated probabilities of Type I error closest to the test's nominal α and being reasonably robust and powerful, for all distributions considered.
Databáze:	OpenAIRE
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