Estimation after sequential selection and ranking

DOI10.1007/BF02717096zbMath0877.62076MaRDI QIDQ1359952

Nitis Mukhopadhyay, Tumulesh K. S. Solanky

Publication date: 23 November 1997

Published in: Metrika (Search for Journal in Brave)

Full work available at URL: https://eudml.org/doc/176717

zbMATH Keywords

asymptoticsbiasmean square errorconfidence regionsnormal populationssequential selection procedurescommon unknown scale

Mathematics Subject Classification ID

Asymptotic properties of parametric estimators (62F12) Sequential statistical analysis (62L10) Statistical ranking and selection procedures (62F07) Sequential estimation (62L12)

Related Items (1)

Does the Selected Normal Population Have the Smallest Variance?

Cites Work

• Second order approximations for sequential point and interval estimation
• Extended renewal theory and moment convergence in Anscombe's theorem
• Single-sample Bayes and empirical Bayes rules for ranking and estimating multinomial probabilities
• Estimating the mean of the selected uniform population
• Estimation of the mean of the selected population
• Accelerated sequential procedure for selecting the largest mean
• Replicated piecewise multistage sampling with applications
• Moments of Randomly Stopped Sums
• A Sequential Procedure for Selecting the Largest of $k$ Means
• A Single-Sample Multiple Decision Procedure for Ranking Means of Normal Populations with known Variances
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