Classical and Bayesian Inference of GPW Distribution Based on Record Values: Estimation and Prediction
الصانع, Ù. (2021). Classical and Bayesian Inference of GPW Distribution Based on Record Values: Estimation and Prediction. EKB Journal Management System, 25(1), 24-44. doi: 10.21608/jsfc.2021.248474
محمود على سليم الصانع. "Classical and Bayesian Inference of GPW Distribution Based on Record Values: Estimation and Prediction". EKB Journal Management System, 25, 1, 2021, 24-44. doi: 10.21608/jsfc.2021.248474
الصانع, Ù. (2021). 'Classical and Bayesian Inference of GPW Distribution Based on Record Values: Estimation and Prediction', EKB Journal Management System, 25(1), pp. 24-44. doi: 10.21608/jsfc.2021.248474
الصانع, Ù. Classical and Bayesian Inference of GPW Distribution Based on Record Values: Estimation and Prediction. EKB Journal Management System, 2021; 25(1): 24-44. doi: 10.21608/jsfc.2021.248474

Classical and Bayesian Inference of GPW Distribution Based on Record Values: Estimation and Prediction

المجلة العلمية لقطاع کليات التجارة بجامعة الأزهر
Article 4, Volume 25, Issue 1, January 2021, Page 24-44  XML PDF (8.62 MB)
Document Type: المقالة الأصلية
DOI: 10.21608/jsfc.2021.248474
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Author
محمود على سليم الصانع email
کلية التجارة جامعة الازهر
Abstract
In this paper, the classical and Bayesian estimation of the parameters of generalized power Weibull distribution based on record values are discussed. Lindley approximation is used to obtain explicit forms of Bayes estimators. Also, the classical and Bayesian predictions of the future record values from generalized power Weibull distribution are discussed. A real dataset and the simulation study are presented for illustration purposes.
Keywords
generalized power Weibull distribution; record values; squared error loss function; prediction; Bayes estimation; Lindley approximation; maximum likelihood estimation; application
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