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Yapay Zeka Hızlı Bakış & Çıkarımlar
AI Insight⚡ TL;DR(1 Cümlede Hızlı Çıkarım)
Finally, these estimate methods are applied to a real data set based on patients with breast cancer in order to demonstrate the applicabilities.
📌 3 Maddede Bu Makale
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Amaç & Hipotez:In this paper, we estimate the parameters of the Marshall-Olkin generalized exponential distribution under progressive Type-I interval censoring based on maximum likelihood, moment method and probability plot.
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Temel Bulgular & Veri:A simulation study is conducted to compare these estimates in terms of mean squared errors and biases.
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Sonuç & Katkı:Finally, these estimate methods are applied to a real data set based on patients with breast cancer in order to demonstrate the applicabilities.
🔬Tür:Research Article
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:EM algorithm · Generalized exponential distribution · Maximum likelihood estimate
Abstract
In this paper, we estimate the parameters of the Marshall-Olkin generalized exponential distribution under progressive Type-I interval censoring based on maximum likelihood, moment method and probability plot. A simulation study is conducted to compare these estimates in terms of mean squared errors and biases. Finally, these estimate methods are applied to a real data set based on patients with breast cancer in order to demonstrate the applicabilities.
Anahtar kelimeler
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Bu Makaleye Atıf Yap
Torabi, H., Forooghi, M., Nadeb, H. (2016). Comparing of some estimation methods for parameters of the Marshall-Olkin generalized exponential distribution under progressive Type-I interval censoring. Hacettepe Journal of Mathematics and Statistics, Volume: 45 Issue: 5. https://ajindex.com/articles/1403111