Determination of Compromise Integer Strata Sample Sizes Using Goal Programming
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Tarih
2004
Yazarlar
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.