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Yapay Zeka Hızlı Bakış & Çıkarımlar
AI Insight⚡ TL;DR(1 Cümlede Hızlı Çıkarım)
Then these obtained biased estimators are compared with theunbiased estimator by the means of their mean square error.
📌 3 Maddede Bu Makale
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Amaç & Hipotez:In this study, biased estimators for the shape parameter of a classicalPareto distribution are proposed using two dierent shrinkage tech-niques which give a smaller mean square error than an unbiased esti-mator.
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Temel Bulgular & Veri:In this study, biased estimators for the shape parameter of a classicalPareto distribution are proposed using two dierent shrinkage tech-niques which give a smaller mean square error than an unbiased esti-mator.
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Sonuç & Katkı:Then these obtained biased estimators are compared with theunbiased estimator by the means of their mean square error.
🔬Tür:Araştırma Makalesi
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Mean Square Error · Pareto Distribution · Shape Parameter
Abstract
In this study, biased estimators for the shape parameter of a classicalPareto distribution are proposed using two dierent shrinkage tech-niques which give a smaller mean square error than an unbiased esti-mator. Then these obtained biased estimators are compared with theunbiased estimator by the means of their mean square error.
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Bu Makaleye Atıf Yap
Özdemir, Ş., Ebegil, M. (2022). Two different shrinkage estimator classes for the shape parameter of classical Pareto distribution. Hacettepe Journal of Mathematics and Statistics, Cilt: 45 - Sayı: 4, 1231–1244. https://ajindex.com/articles/530159