A comparison of the performances of procedures for selecting the normal population having the largest mean when the populations have a common unknown variance

DOI10.1080/03610919008812901zbMath0850.62234OpenAlexW2072888431MaRDI QIDQ4019212

David Goldsman, Robert E. Bechhofer, Charles W. Dunnett, Mark E. Hartmann

Publication date: 16 January 1993

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://hdl.handle.net/1813/8777

Mathematics Subject Classification ID

Monte Carlo methods (65C05) Statistical ranking and selection procedures (62F07)

Related Items (3)

Algorithm for Calculating the Initial Sample Size in a Fully Sequential Ranking and Selection Procedure ⋮ A sequential procedure for neighborhood selection-of-the-best in optimization via simulation ⋮ An improvement on paulson's procedure for selecting the poprlation with the largest mean from k normal populations with a common unknown variance

Cites Work

• On the distribution of the studentized maximum of equally correlated normal random variables
• A two-stage minimax procedure with screening for selecting the largest normal mean (ii): an improved pcs lower bound and associated tables
• Sequential selectiok procedures based on confidence sequences for normal populations
• An improvement on paulson s sequential ranking procedure
• A Sequential Procedure for Selecting the Population with the Largest Mean from $k$ Normal Populations
• A Single-Sample Multiple Decision Procedure for Ranking Means of Normal Populations with known Variances
• Unnamed Item

This page was built for publication: A comparison of the performances of procedures for selecting the normal population having the largest mean when the populations have a common unknown variance