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Yapay Zeka Hızlı Bakış & Çıkarımlar
AI Insight⚡ TL;DR(1 Cümlede Hızlı Çıkarım)
Analytical and numerical results show that at optimal conditions, the proposed ratio estimators are always more efficient than the regression estimator and some existing estimators under review.
📌 3 Maddede Bu Makale
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Amaç & Hipotez:This paper proposes, with justification, two exponential ratio estimators of population mean in simple random sampling without replacement.
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Temel Bulgular & Veri:Their biases and mean squared error are derived and compared with existing related ratio estimators.
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Sonuç & Katkı:Analytical and numerical results show that at optimal conditions, the proposed ratio estimators are always more efficient than the regression estimator and some existing estimators under review.
🔬Tür:Literatür & Derleme Çalışması
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Exponential ratio estimators · mean squared error · optimal conditions
Abstract
This paper proposes, with justification, two exponential ratio estimators of population mean in simple random sampling without replacement. Their biases and mean squared error are derived and compared with existing related ratio estimators. Analytical and numerical results show that at optimal conditions, the proposed ratio estimators are always more efficient than the regression estimator and some existing estimators under review.
Anahtar kelimeler
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Bu Makaleye Atıf Yap
John, E. E., Inyang, E. E. (2022). Efficient exponential ratio estimator for estimating the population mean in simple random sampling. Hacettepe Journal of Mathematics and Statistics, Cilt: 44 - Sayı: 3, 689–705. https://ajindex.com/articles/530245