A k-stage procedure for estimating the mean vector of a multivariate normal population

DOI10.1080/07474946.2019.1648926zbMath1434.62172OpenAlexW2975816180MaRDI QIDQ5197973

Neeraj Joshi, Ajit Chaturvedi, Sudeep R. Bapat

Publication date: 2 October 2019

Published in: Sequential Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/07474946.2019.1648926

zbMATH Keywords

second-order approximationspoint estimationregretminimum riskmultivariate normal populationconfidence region estimation\(k\)-stage procedure

Mathematics Subject Classification ID

Estimation in multivariate analysis (62H12) Parametric tolerance and confidence regions (62F25) Point estimation (62F10) Sequential estimation (62L12)

Related Items (1)

Purely sequential and \(k\)-stage procedures for estimating the mean of an inverse Gaussian distribution

Uses Software

• MVN

Cites Work

• Asymptotic theory of triple sampling for sequential estimation of a mean
• A \(k\)-stage sequential sampling procedure for estimation of normal mean
• On the Asymptotic Theory of Fixed-Width Sequential Confidence Intervals for the Mean
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