DETERMINATION OF COMPROMISE INTEGER STRATA SAMPLE SIZES USING GOAL PROGRAMMING

Yıl 2004, Cilt: 33 , 91 - 96, 01.01.2004

Mustafa Semiz

Öz

This article deals with the determination of compromise integer strata

sample sizes using goal programming in multivariate stratified sam-

pling. Firstly, the problem of determining optimum integer strata sam-

ple sizes is formulated for the univariate case, and then based on these

individual optimal solutions, individual goal variances are calculated. A

new compromise criteria is defined for the goal programming approach

based on predetermined or calculated goal variances. It is shown that

the proposed approach provides relatively more effcient and feasible

compromise integer strata sample sizes for multivariate surveys.

Anahtar Kelimeler

Compromise allocation, Goal programming, Stratified sampling, Relative efficiency

Kaynakça

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