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Optimum Design in Multivariate Stratified Sampling
Author(s) -
Omule S. A. Y.
Publication year - 1985
Publication title -
biometrical journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.108
H-Index - 63
eISSN - 1521-4036
pISSN - 0323-3847
DOI - 10.1002/bimj.4710270813
Subject(s) - stratified sampling , multivariate statistics , sampling (signal processing) , sampling design , stratum , dynamic programming , computer science , statistics , sample (material) , mathematical optimization , mathematics , engineering , population , chemistry , demography , geotechnical engineering , filter (signal processing) , chromatography , sociology , computer vision
The procedure of determining the optimum sample size in each stratum in stratified sampling for several variables is expressed and solved as a multistage decision process through dynamic programming. Using data published elsewhere, the dynamic programming approach was shown to give results identical to those obtained by some other already suggested approaches. The advantage is that dynamic programming can more easily handle problems involving several strata and/or variables.