## A survey of statistical decision procedures for selecting the population with the largest normal mean |

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analysis of variance associated Assume a common Bechhofer 1954 Calculate Closed Sequential Procedure CM CM CM common known variance common sample compute Cornell University correct selection cumulative distribution function cumulative sample means defined design constants Design Experiment design parameter Determine probability requirement difference worth detecting employing expected total sample guarantee the probability infimum largest mean Minimum acceptable probability MINITAB multiple decision procedures normal distribution normal populations null hypothesis number of observations Number of populations number of stages Open Sequential Procedure Paulson Perform Experiment population means population yielding probability in LFC Procedure for Common Procedure without Elimination Procedures with Elimination R-minimax random variable ratios Referring to Table relative efficiencies reprinted from Tamhane second stage select the population single-stage procedure Smallest difference worth Stopping Rules Student's t distribution Table Dl Table F Tamhane and Bechhofer Terminal Decision Rule total number Two-stage Minimax Procedures two-stage procedure unknown