Accession Number : ADA185614

Title :   An Elimination Type Two-Stage Procedure for Selecting the Population with the Largest Mean from K Logistic Populations.

Descriptive Note : Technical rept.,

Corporate Author : PURDUE UNIV LAFAYETTE IN DEPT OF STATISTICS

Personal Author(s) : Gupta, Shanti S ; Han, ShangHyun

PDF Url : ADA185614

Report Date : Aug 1987

Pagination or Media Count : 30

Abstract : A formula for an approximation to the distribution of the sample means of a logistic population is derived by using the Edgeworth series expansions. Using this approximation, the authors consider an elimination type two-stage procedure based on the sample means for selecting the population with the largest mean from k logistic populations when the common variance is known. A table of the constants needed to implement this procedure is provided and the efficiency of this procedure relative to the single-stage procedure is investigated. Keywords: Random variables; Tables(Data). (Author)

Descriptors :   *POPULATION(MATHEMATICS), *MEAN, CONSTANTS, LOGISTICS, RANDOM VARIABLES, SERIES(MATHEMATICS), TABLES(DATA), VARIATIONS, SELECTION, PROBABILITY DENSITY FUNCTIONS

Subject Categories : Statistics and Probability

Distribution Statement : APPROVED FOR PUBLIC RELEASE