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Compromise allocation in multivariate stratified sampling: An integer solution
Author(s) -
Khan M. G. M.,
Ahsan M. J.,
Jahan Nujhat
Publication year - 1997
Publication title -
naval research logistics (nrl)
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.665
H-Index - 68
eISSN - 1520-6750
pISSN - 0894-069X
DOI - 10.1002/(sici)1520-6750(199702)44:1<69::aid-nav4>3.0.co;2-k
Subject(s) - integer programming , multivariate statistics , integer (computer science) , mathematical optimization , sampling (signal processing) , stratified sampling , compromise , mathematics , sample (material) , branch and price , computer science , statistics , law , chemistry , filter (signal processing) , chromatography , political science , computer vision , programming language
The problem of determining the sample sizes in various strata when several characteristics are under study is formulated as a nonlinear multistage decision problem. Dynamic programming is used to obtain an integer solution to the problem. © 1997 John Wiley & Sons, Inc.