Determination of Compromise Integer Strata Sample Sizes Using Goal Programming
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Date
2004
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Access Rights
info:eu-repo/semantics/openAccess
Abstract
This article deals with the determination of compromise integer strata sample sizes using goal programming in multivariate stratified sampling. Firstly, the problem of determining optimum integer strata sample 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 efficient and feasible compromise integer strata sample sizes for multivariate surveys.
Description
Keywords
İstatistik ve Olasılık, Matematik, Stratified sampling, Compromise allocation, Goal programming, Relative efficiency
Journal or Series
Hacettepe Journal of Mathematics and Statistics
WoS Q Value
Scopus Q Value
Volume
33
Issue
Citation
Semiz, M., (2004). Determination of Compromise Integer Strata Sample Sizes Using Goal Programming. Hacettepe Journal of Mathematics and Statistics, (33), 91-96.
