Empirical estimation of \(d\)-risks at distinguishing one-sided hypotheses

DOI10.1134/S199508021604017XzbMath1419.62036MaRDI QIDQ323648

D. S. Simushkin

Publication date: 10 October 2016

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

zbMATH Keywords

deconvolution\(d\)-posteriori approachguaranteed inference

Mathematics Subject Classification ID

Parametric hypothesis testing (62F03) Asymptotic properties of parametric tests (62F05)

Related Items (1)

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

Uses Software

• KernSmooth

Cites Work

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• On the optimal rates of convergence for nonparametric deconvolution problems
• Guaranteed statistical inference procedures (determination of the optimal sample size)
• The positive false discovery rate: A Bayesian interpretation and the \(q\)-value
• Deconvolving kernel density estimators
• Optimal Rates of Convergence for Deconvolving a Density

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