
Accession Number : ADA185614
Title : An Elimination Type TwoStage 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 twostage 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 singlestage 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