Dergiler / Sigma Mühendislik ve Fen Bilimleri Dergisi / 2021 / Cilt: 39 - Sayı: 2

Estimation procedures on Type-II censored data from a scaled Muth distribution

Sayfa
148–158
Yayın Tarihi
2021-06-02
DOI
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⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

Furthermore, we evaluate the applicability of the scaled Muth distribution by taking into account both full and Type-II censored data situations by an analysis conducted on a real-life dataset.

📌 3 Maddede Bu Makale

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Amaç & Hipotez:In the present paper, we consider the estimation problem for the scaled Muth distribution under Type-II censoring scheme.
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Temel Bulgular & Veri:In order to estimate the model parameters α and β, the maximum likelihood, the least-squares, and the maximum spacing estimators are derived.
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Sonuç & Katkı:Furthermore, we evaluate the applicability of the scaled Muth distribution by taking into account both full and Type-II censored data situations by an analysis conducted on a real-life dataset.
🔬Tür:Modelleme & Sayısal Simülasyon
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Lifetime model · Muth distribution · censored data

Abstract

In the present paper, we consider the estimation problem for the scaled Muth distribution under Type-II censoring scheme. In order to estimate the model parameters α and β, the maximum likelihood, the least-squares, and the maximum spacing estimators are derived. To show estimation efficiencies of the estimators obtained with this paper, we present an extensive Monte-Carlo simulation study in which the estimators are compared according to bias and mean squared error criteria. Furthermore, we evaluate the applicability of the scaled Muth distribution by taking into account both full and Type-II censored data situations by an analysis conducted on a real-life dataset.

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Bu Makaleye Atıf Yap

BIÇER, H. D., ÖZTÜRKER, B. (2021). Estimation procedures on Type-II censored data from a scaled Muth distribution. Sigma Mühendislik ve Fen Bilimleri Dergisi, Cilt: 39 - Sayı: 2, 148–158. https://ajindex.com/articles/419024

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Kaynakça (14)

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