Comparing the performance of normality tests with ROC analysis and confidence intervals

Autor:	Francisco Caramelo, Bárbara Oliveiros, Fabio Ferreira, Miguel Patrício
Rok vydání:	2017
Předmět:	Statistics and Probability media_common.quotation_subject macromolecular substances 04 agricultural and veterinary sciences Kolmogorov–Smirnov test 01 natural sciences Confidence interval 010104 statistics & probability symbols.namesake Normality test Shapiro–Wilk test Modeling and Simulation Statistics 040103 agronomy & agriculture symbols Econometrics 0401 agriculture forestry and fisheries 0101 mathematics ANOVA on ranks Normality Statistical hypothesis testing Mathematics media_common Parametric statistics
Zdroj:	Communications in Statistics - Simulation and Computation. 46:7535-7551
ISSN:	1532-4141 0361-0918
DOI:	10.1080/03610918.2016.1241410
Popis:	There are several statistical hypothesis tests available for assessing normality assumptions, which is an a priori requirement for most parametric statistical procedures. The usual method for compa...
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::58027cd2d4c59e071bb6132becb15b53 https://doi.org/10.1080/03610918.2016.1241410 Zobrazit plný text záznamu