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.
Issues in significance testing / D'Errico, GIAMPAOLO EUGENIO. - In: MEASUREMENT. - ISSN 0263-2241. - 42:(2009), pp. 1478-1481. [doj: 10.1016/j.measurement.2009.08.004]
Issues in significance testing
D'ERRICO, GIAMPAOLO EUGENIO
2009
Abstract
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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
