Issues in significance testing

Autor:	Giampaolo E. D’Errico
Rok vydání:	2009
Předmět:	Bayesian statistics Applied Mathematics Significance testing Statistical inference Estimation statistics Econometrics Electrical and Electronic Engineering Condensed Matter Physics Instrumentation Experimental research Mathematics Statistical hypothesis testing
Zdroj:	Measurement. 42:1478-1481
ISSN:	0263-2241
Popis:	Null Hypothesis Significance Testing (NHST) is a well known tool in statistical inference. NHST has a wide potential applicability in experimental research, for instance in treatment of outlying observations. However, rational of NHST and inter-pretations of results of significance tests are debated. In the present paper, principles and applications of NHST are presented and discussed in the framework of Bayesian statistics, focusing on perspectives of metrological interest.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::c0c1f350f0a8e195e2833ca06ed92f8f https://doi.org/10.1016/j.measurement.2009.08.004 Zobrazit plný text záznamu Full Text from ScienceDirect