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Yapay Zeka Hızlı Bakış & Çıkarımlar
AI Insight⚡ TL;DR(1 Cümlede Hızlı Çıkarım)
It is demonstrated that the proposed estimators are more efficient than others.
📌 3 Maddede Bu Makale
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Amaç & Hipotez:Use of auxiliary variables is very common in estimating various population parameters.
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Temel Bulgular & Veri:Thevariance expressions of the suggested estimators are compared with usual unbiased estimator, Swain's (1964) ratio estimator and Shukla's(1971) product type estimator.
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Sonuç & Katkı:It is demonstrated that the proposed estimators are more efficient than others.
🔬Tür:Araştırma Makalesi
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Systematic sampling · Ratio estimator · Product estimator
Abstract
Use of auxiliary variables is very common in estimating various population parameters. In this study, we suggest a class of unbiased linear estimators for estimating the population mean of the study variate y using information on the auxiliary variate x in systematic sampling. Thevariance expressions of the suggested estimators are compared with usual unbiased estimator, Swain's (1964) ratio estimator and Shukla's(1971) product type estimator. It is demonstrated that the proposed estimators are more efficient than others.
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Bu Makaleye Atıf Yap
KOÇYİĞİT, E. G., ÇINGI, H. (2022). A new class of unbiased linear estimators in systematic sampling. Hacettepe Journal of Mathematics and Statistics, Cilt: 46 - Sayı: 2, 315–323. https://ajindex.com/articles/530000