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Yapay Zeka Hızlı Bakış & Çıkarımlar
AI Insight⚡ TL;DR(1 Cümlede Hızlı Çıkarım)
The simulation study shows that new calibration estimator is highly efficient than the existing estimator.
📌 3 Maddede Bu Makale
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Amaç & Hipotez:In the present article, we consider a new calibration estimator of the population mean in the stratified double sampling.
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Temel Bulgular & Veri:We get more efficient calibration estimator using new calibration weights compared to the straight estimator.
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Sonuç & Katkı:The simulation study shows that new calibration estimator is highly efficient than the existing estimator.
🔬Tür:Araştırma Makalesi
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Calibration · Auxiliary information · Stratified double sampling
Abstract
In the present article, we consider a new calibration estimator of the population mean in the stratified double sampling. We get more efficient calibration estimator using new calibration weights compared to the straight estimator. In addition, the estimators derived are analyzed for different populations by a simulation study. The simulation study shows that new calibration estimator is highly efficient than the existing estimator.
Anahtar kelimeler
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Bu Makaleye Atıf Yap
KADILAR, C., KOYUNCU, N. (2022). A new calibration estimator in stratified double sampling. Hacettepe Journal of Mathematics and Statistics, Cilt: 43 - Sayı: 2, 337–346. https://ajindex.com/articles/530317