Admissible and minimax estimation of the parameter of the selected Pareto population under squared log error loss function

DOI10.1007/S00362-015-0699-6zbMath1392.62064OpenAlexW782411546MaRDI QIDQ2359160

Nader Nematollahi

Publication date: 27 June 2017

Published in: Statistical Papers (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00362-015-0699-6

zbMATH Keywords

minimaxityPareto distributionadmissibilitysquared log error loss function

Mathematics Subject Classification ID

Point estimation (62F10) Minimax procedures in statistical decision theory (62C20) Statistical ranking and selection procedures (62F07) Admissibility in statistical decision theory (62C15)

Related Items (5)

Estimating the parameter of selected uniform population under the squared log error loss function ⋮ Equivariant estimation following selection from two normal populations having common unknown variance ⋮ Admissible and minimax estimation of the parameters of the selected normal population in two-stage adaptive designs under reflected normal loss function ⋮ Estimating a function of scale parameter of an exponential population with unknown location under general loss function ⋮ Unnamed Item

Cites Work

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