Asymmetric Power Hazard Distribution for COVID-19 Mortality Rate under Adaptive Type-II Progressive Censoring: Theory and Inferences.

Autor: El-Morshedy M; Department of Mathematics, College of Science and Humanities in Al-Kharj, Prince Sattam Bin Abdulaziz University, Al-Kharj 11942, Saudi Arabia.; Department of Statistics and Computer Science, Faculty of Science, Mansoura University, Mansoura 35516, Egypt., El-Sagheer RM; Mathematics Department, Faculty of Science, Al-Azhar University, Naser City 11884, Cairo, Egypt., Eliwa MS; Department of Statistics and Operation Research, College of Science, Qassim University, P.O. Box 6644, Buraydah 51482, Saudi Arabia.; Department of Mathematics, Faculty of Science, Mansoura University, Mansoura 35516, Egypt., Alqahtani KM; Department of Mathematics, College of Science and Humanities in Al-Kharj, Prince Sattam Bin Abdulaziz University, Al-Kharj 11942, Saudi Arabia.
Jazyk: angličtina
Zdroj: Computational intelligence and neuroscience [Comput Intell Neurosci] 2022 Apr 20; Vol. 2022, pp. 5134507. Date of Electronic Publication: 2022 Apr 20 (Print Publication: 2022).
DOI: 10.1155/2022/5134507
Abstrakt: This article investigates the estimation of the parameters for power hazard function distribution and some lifetime indices such as reliability function, hazard rate function, and coefficient of variation based on adaptive Type-II progressive censoring. From the perspective of frequentism, we derive the point estimations through the method of maximum likelihood estimation. Besides, delta method is implemented to construct the variances of the reliability characteristics. Markov chain Monte Carlo techniques are proposed to construct the Bayes estimates. To this end, the results of the Bayes estimates are obtained under squared error and linear exponential loss functions. Also, the corresponding credible intervals are constructed. A simulation study is utilized to assay the performance of the proposed methods. Finally, a real data set of COVID-19 mortality rate is analyzed to validate the introduced inference methods.
Competing Interests: The authors declare that they have no conflicts of interest.
(Copyright © 2022 Mahmoud El-Morshedy et al.)
Databáze: MEDLINE
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