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    jsp.display-item.identifier=請使用永久網址來引用或連結此文件: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/20080

    题名: A Stratification for Multiple Populations
    作者: Chang, Horng-jinh;Shieh, Shuen-chin
    贡献者: 淡江大學經營決策學系
    关键词: Hessian Matrix;Multiple Population;Neyman Allocatin;Optimum Stratification;Optimum stratification Points
    日期: 1990-12-01
    上传时间: 2009-11-30 12:32:50 (UTC+8)
    出版者: Taipei : Graduate Institute of Management Science, Tamkang University
    摘要: 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.
    關聯: International journal of information and management Sciences 1(2), pp.1-8
    显示于类别:[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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