Asymptotic of the necessary sample size in the two hypotheses discrimination problem

DOI10.1134/S1995080220030154zbMath1451.62026OpenAlexW3043610496WikidataQ110617165 ScholiaQ110617165MaRDI QIDQ2207052

D. S. Simushkin

Publication date: 27 October 2020

Published in: Lobachevskii Journal of Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1134/s1995080220030154

zbMATH Keywords

sample sizenormal-normal model\(d\)-posterior approachone-sided hypotheses

Mathematics Subject Classification ID

Parametric hypothesis testing (62F03) Sampling theory, sample surveys (62D05) Analysis of variance and covariance (ANOVA) (62J10)

Cites Work

• Empirical estimation of \(d\)-risks at distinguishing one-sided hypotheses
• Confidence bounds and narrowest reliable intervals in d-posterior approach
• D-guaranteed discrimination of statistical hypotheses: a review of results and unsolved problems
• Asymptotics of the necessary sample size in testing parametric hypotheses: \(d\)-posterior approach.

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