Admissible and minimax estimation of the parameters of the selected normal population in two-stage adaptive designs under reflected normal loss function

DOI10.19195/0208-4147.39.2.7zbMath1439.62077OpenAlexW3011821271MaRDI QIDQ5109850

Nader Nematollahi, Hasan Mazarei

Publication date: 13 May 2020

Published in: Probability and Mathematical Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.19195/0208-4147.39.2.7

zbMATH Keywords

reflected normal loss functionminimax estimatortwo-stage adaptive designinadmissible estimator

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Point estimation (62F10) Minimax procedures in statistical decision theory (62C20) Statistical ranking and selection procedures (62F07) Admissibility in statistical decision theory (62C15) Response surface designs (62K20)

Related Items (1)

Bayesian wavelet Stein's unbiased risk estimation of multivariate normal distribution under reflected normal loss

Cites Work

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