Classical and Bayesian Inference of Conditional Stress-Strength Model under Kumaraswamy Distribution

被引：0

作者：

Riad, Fathy H. ^{[1
,2
]}

Saber, Mohammad Mehdi ^{[3
]}

Taghipour, Mehrdad ^{[4
]}

Abd El-Raouf, M. M. ^{[5
]}

机构：

[1] Jouf Univ, Coll Sci, Dept Math, Sakaka, Saudi Arabia

[2] Minia Univ, Fac Sci, Dept Math, Al Minya, Egypt

[3] Higher Educ Ctr Eghlid, Dept Stat, Eghlid, Iran

[4] Univ Qom, Fac Sci, Dept Stat, Qom, Iran

[5] Arab Acad Sci Technol & Maritime Transport AASTMT, Basic & Appl Sci Inst, Alexandia, Egypt

来源：

COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE | 2021年 / 2021卷

关键词：

SYSTEMS; YIELD;

D O I：

10.1155/2021/1087871

中图分类号：

Q [生物科学];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

Stress-strength models have been frequently studied in recent years. An applicable extension of these models is conditional stress-strength models. The maximum likelihood estimator of conditional stress-strength models, asymptotic distribution of this estimator, and its confidence intervals are obtained for Kumaraswamy distribution. In addition, Bayesian estimation and bootstrap method are applied to the model.

引用

页数：13

共 50 条

[21] Bayesian Inference for the Kumaraswamy Distribution under Generalized Progressive Hybrid Censoring
Tu, Jiayi
Gui, Wenhao
ENTROPY, 2020, 22 (09)
[22] Bayesian and classical estimation of reliability in a multicomponent stress-strength model under adaptive hybrid progressive censored data
Akram Kohansal
Shirin Shoaee
Statistical Papers, 2021, 62 : 309 - 359
[23] Bayesian Inference of the Phase-Type Stress-Strength Reliability Models
Jose J.K.
Drisya M.
George S.
American Journal of Mathematical and Management Sciences, 2023, 42 (01) : 13 - 29
[24] Statistical Inference of Stress-Strength Reliability of Gompertz Distribution under Type II Censoring
Ezmareh, Z. Karimi
Yari, G.
ADVANCES IN MATHEMATICAL PHYSICS, 2022, 2022
[25] Objective Bayesian analysis of the Frechet stress-strength model
Abbas, Kamran
Tang, Yincai
STATISTICS & PROBABILITY LETTERS, 2014, 84 : 169 - 175
[26] Reliability inference for multicomponent stress-strength model under generalized progressive hybrid censoring
Zhu, Tiefeng
JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS, 2024, 451
[27] Bayesian and non-Bayesian reliability estimation of multicomponent stress-strength model for unit Weibull distribution
Alotaibi, Refah Mohammed
Tripathi, Yogesh Mani
Dey, Sanku
Rezk, Hoda Ragab
JOURNAL OF TAIBAH UNIVERSITY FOR SCIENCE, 2020, 14 (01): : 1164 - 1181
[28] Inference of reliability in a multicomponent stress-strength model under generalized progressive hybrid censoring
Zhu, Tiefeng
JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS, 2023, 418
[29] Engineering Applications with Stress-Strength for a New Flexible Extension of Inverse Lomax Model: Bayesian and Non-Bayesian Inference
Alyami, Salem A.
Elbatal, I.
Hassan, Amal S.
Almetwally, Ehab M.
AXIOMS, 2023, 12 (12)
[30] Inference for reliability in a multicomponent stress-strength model for a unit inverse Weibull distribution under type-II censoring
Singh, Kundan
Mahto, Amulya Kumar
Tripathi, Yogesh
Wang, Liang
QUALITY TECHNOLOGY AND QUANTITATIVE MANAGEMENT, 2024, 21 (02): : 147 - 176

← 1 2 3 4 5 →