DETERMINATION OF COMPROMISE INTEGER STRATA SAMPLE SIZES USING GOAL PROGRAMMING

Authors : Mustafa SEMİZ

Pages : 91-96

View : 13 | Download : 8

Publication Date : 2004-01-01

Article Type : Research Paper

Abstract :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.
Keywords : Compromise allocation, Goal programming, Stratified sampling, Relative efficiency