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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/20080


    Title: A Stratification for Multiple Populations
    Authors: Chang, Horng-jinh;Shieh, Shuen-chin
    Contributors: 淡江大學經營決策學系
    Keywords: Hessian Matrix;Multiple Population;Neyman Allocatin;Optimum Stratification;Optimum stratification Points
    Date: 1990-12-01
    Issue Date: 2009-11-30 12:32:50 (UTC+8)
    Publisher: Taipei : Graduate Institute of Management Science, Tamkang University
    Abstract: An attempt will be made here to extend Dalenius'(1950) theory of univariate stratification for one population to multiple population. If k mutiple populations have the same or different domains, then they can be divided simultaneously into L strata according to the variable y under study. The gross population is composed of the k populations. The ith stratified simple random sample of size $n_i$ ia drawn from the ith population,i= 1, 2,...,k. The gross population mean is estimated by the k sample means. The variance of the gross sample mean will be taken as a measure. We will call a system of stratification, if it minimizes the variance of the sample mean. This paper will discuss the method for finding optimum stratification points for multiple populations under Neyman allocation. A numerical illustration is also given.
    Relation: International journal of information and management Sciences 1(2), pp.1-8
    Appears in Collections:[管理科學學系暨研究所] 期刊論文
    [資訊管理學系暨研究所] 期刊論文

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