Purely sequential bounded-risk point estimation of the negative binomial mean under various loss functions: one-sample problem

DOI10.1007/s10463-017-0620-2zbMath1406.62089OpenAlexW2764332264MaRDI QIDQ1786904

Sudeep R. Bapat, Nitis Mukhopadhyay

Publication date: 25 September 2018

Published in: Annals of the Institute of Statistical Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10463-017-0620-2

zbMATH Keywords

squared error lossstatistical ecologyLinex lossover-dispersed count databird sanctuary dataCV approachfirst-order asymptotic efficiencyfirst-order asymptotic risk efficiencymigrating woodlarks dataweed count data

Mathematics Subject Classification ID

Applications of statistics to environmental and related topics (62P12) Sequential statistical analysis (62L10) Sequential estimation (62L12)

Related Items (7)

A double-sequential sampling scheme ⋮ A novel sequential approach to estimate functions of parameters of two gamma populations ⋮ Improving Hall's accelerated sequential procedure: generalized multistage fixed-width confidence intervals for a normal mean ⋮ A robust two-stage procedure for the Poisson process under the linear exponential loss function ⋮ Sequential minimum risk point estimation (MRPE) methodology for a normal mean under Linex loss plus sampling cost: First-order and second-order asymptotics ⋮ Minimum risk point estimation for a function of a normal mean under weighted power absolute error loss plus cost: First-order and second-order asymptotics ⋮ On a class of purely sequential procedures with applications to estimation and ranking and selection problems

Uses Software

• R

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