Bayesian Inference for the Kumaraswamy Distribution under Generalized Progressive Hybrid Censoring
Incomplete data are unavoidable for survival analysis as well as life testing, so more and more researchers are beginning to study censoring data. This paper discusses and considers the estimation of unknown parameters featured by the Kumaraswamy distribution on the condition of generalized progress...
Main Authors: | Jiayi Tu, Wenhao Gui |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-09-01
|
Series: | Entropy |
Subjects: | |
Online Access: | https://www.mdpi.com/1099-4300/22/9/1032 |
Similar Items
-
Statistical Inference of Truncated Normal Distribution Based on the Generalized Progressive Hybrid Censoring
by: Xinyi Zeng, et al.
Published: (2021-02-01) -
Inference for Inverse Power Lomax Distribution with Progressive First-Failure Censoring
by: Xiaolin Shi, et al.
Published: (2021-08-01) -
Estimation in Weibull Distribution Under Progressively Type-I Hybrid Censored Data
by: Yasin Asar, et al.
Published: (2023-02-01) -
Bayes and Maximum Likelihood Estimation of Uncertainty Measure of the Inverse Weibull Distribution under Generalized Adaptive Progressive Hybrid Censoring
by: Kyeongjun Lee
Published: (2022-12-01) -
Estimations For The Odd Weibull Distribution under Progressive Type-II Right Censored Samples
by: Gülcan Gencer, et al.
Published: (2020-02-01)