Asymptotics of the necessary sample size in testing parametric hypotheses: \(d\)-posterior approach.

zbMath1103.62324MaRDI QIDQ1856483

Andrey Novikov, Igor N. Volodin

Publication date: 10 February 2003

Published in: Mathematical Methods of Statistics (Search for Journal in Brave)

zbMATH Keywords

local asymptotic normality\(d\)-posterior approachasymptotics of the necessary sample sizecontracting prior distributionsdiscrimination between two hypothesesregular statistical experimentssmall error probabilities

Mathematics Subject Classification ID

Bayesian inference (62F15) Asymptotic properties of parametric tests (62F05)

Related Items (5)

On the d-posterior approach to the multiple testing problem ⋮ Asymptotics of the Minimum Sufficient Number of Observations for $d$-Guaranteed Discrimination of Two-Sided Hypotheses ⋮ Asymptotic of the necessary sample size in the two hypotheses discrimination problem ⋮ D-guaranteed discrimination of statistical hypotheses: a review of results and unsolved problems ⋮ Estimation of the mean value for the normal distribution with constraints on \(d\)-risk

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