A class of one sample tests based on the Mann–Whitney–Wilcoxon functional

Autor:	Mohamed Amezziane, Claudia Schmegner
Rok vydání:	2013
Předmět:	Statistics and Probability Class (set theory) Wilcoxon signed-rank test Applied Mathematics Rank (computer programming) Score Test (assessment) Goodness of fit Consistency (statistics) Modeling and Simulation Statistics Mann–Whitney U test Statistics Probability and Uncertainty Mathematics
Zdroj:	Journal of Statistical Computation and Simulation. 85:587-595
ISSN:	1563-5163 0094-9655
DOI:	10.1080/00949655.2013.830307
Popis:	The main idea behind the proposed class of tests is rooted on an extension of the technique used in the derivation of the Mann–Whitney–Wilcoxon test. Just like the case of two-sample rank-based tests, the new class consists of tests defined through score functions. When properly selected, these score functions lead to consistent and often more powerful tests compared with classical goodness-of-fit tests. Theoretical results are supported by an extensive simulation study.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::d0675a1169f16077b1acaaeeb4b293d1 https://doi.org/10.1080/00949655.2013.830307 Zobrazit plný text záznamu