Determination of Compromise Integer Strata Sample Sizes Using Goal Programming

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Tarih

2004

Dergi Başlığı

Dergi ISSN

Cilt Başlığı

Yayıncı

Erişim Hakkı

info:eu-repo/semantics/openAccess

Özet

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.

Açıklama

Anahtar Kelimeler

İstatistik ve Olasılık, Matematik, Stratified sampling, Compromise allocation, Goal programming, Relative efficiency

Kaynak

Hacettepe Journal of Mathematics and Statistics

WoS Q Değeri

Scopus Q Değeri

Cilt

33

Sayı

Künye

Semiz, M., (2004). Determination of Compromise Integer Strata Sample Sizes Using Goal Programming. Hacettepe Journal of Mathematics and Statistics, (33), 91-96.