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Dergiler / İstatistik. Türk İstatistik Derneği Dergisi / 2018 / Cilt: 11 - Sayı: 1-2

BAYESIAN PREDICTION OF PROGRESSIVELY FIRST-FAILURE-CENSORED ORDER STATISTICS BASED ON k-RECORD VALUES FROM WEIBULL DISTRIBUTION

Mahdi DOOSTPARAST
Mohammad Vali AHMADİ
Sayfa
12–28
Yayın Tarihi
2022-10-19
DOI
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⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

Finally, theestimated risks of various point predictors obtained are compared using the Monte Carlo method.

📌 3 Maddede Bu Makale

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Amaç & Hipotez:Prediction on the basis of censored data has an important role in lifetime studies.
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Temel Bulgular & Veri:This paperdiscusses Bayesian two-sample prediction of progressively rst-failure-censored order statistics coming from afuture sample based on observed k-record values from two-parameter Weibull distribution.
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Sonuç & Katkı:Finally, theestimated risks of various point predictors obtained are compared using the Monte Carlo method.
🔬Tür:Araştırma Makalesi
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Alan Parametreleri

Abstract

Prediction on the basis of censored data has an important role in lifetime studies. This paperdiscusses Bayesian two-sample prediction of progressively rst-failure-censored order statistics coming from afuture sample based on observed k-record values from two-parameter Weibull distribution. Bayesian intervalpredictions are obtained based on a continuous-discrete joint prior for the unknown two parameters. More-over, Bayesian point predictors are investigated under symmetric and asymmetric loss functions. Finally, theestimated risks of various point predictors obtained are compared using the Monte Carlo method.

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Bu Makaleye Atıf Yap

DOOSTPARAST, M., AHMADİ, M. V. (2022). BAYESIAN PREDICTION OF PROGRESSIVELY FIRST-FAILURE-CENSORED ORDER STATISTICS BASED ON k-RECORD VALUES FROM WEIBULL DISTRIBUTION. İstatistik. Türk İstatistik Derneği Dergisi, Cilt: 11 - Sayı: 1-2, 12–28. https://ajindex.com/articles/555712

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Kaynakça (14)

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