Progressively Type-II censored competing risks data from Lomax distributions

2011 ◽  
Vol 55 (3) ◽  
pp. 1285-1303 ◽  
Author(s):  
Erhard Cramer ◽  
Anja Bettina Schmiedt
Keyword(s):  
Competing Risks ◽  
Type Ii ◽  
Competing Risks Data

scholarly journals Analysis of Type-II hybrid censored competing risks data

Statistics ◽  
2017 ◽  
Vol 51 (6) ◽  
pp. 1304-1325 ◽  
Author(s):  
Arnab Koley ◽  
Debasis Kundu ◽  
Ayon Ganguly
Keyword(s):  
Competing Risks ◽  
Type Ii ◽  
Competing Risks Data

Revisit to progressively Type-II censored competing risks data from Lomax distributions

2021 ◽  
pp. 1748006X2098397
Author(s):  
Rui Hua ◽  
Wenhao Gui
Keyword(s):  
Confidence Intervals ◽  
Competing Risks ◽  
Maximum Likelihood Estimates ◽  
Type Ii ◽  
Posterior Density ◽  
Unknown Parameters ◽  
Linex Loss ◽  
Credible Intervals ◽  
Competing Risks Data ◽  
Highest Posterior Density

In survival analysis, more than one factor typically contributes to individual failure. In addition, censoring is inevitable in lifespan tests or reliability studies due to external causes or experimental purposes. In this article, the competing risks model is considered and investigated under progressively Type-II censoring where data is from Lomax distributions. Assumptions are further made that these competitive factors are independently distributed, and the latent lifetimes of these factors follow Lomax distributions where both scale parameters and shape parameters are different. For all unknown parameters, maximum likelihood estimates have been attained by Newton-Raphson (NR) method as well as expectation maximization (EM) method, and then the approximate confidence intervals are acquired, in addition to bootstrap confidence intervals. Furthermore, under square error and LINEX loss functions, Bayes estimates and corresponding highest posterior density credible intervals are successively constructed. Finally, simulation experiments are implemented to access performance of several proposed methods in this article, and laboratory dataset is presented and analyzed for illustrative purposes.

Inference of progressively type-II censored competing risks data from Chen distribution with an application

2020 ◽  
Vol 47 (13-15) ◽  
pp. 2492-2524 ◽  
Author(s):  
Essam A. Ahmed ◽  
Ziyad Ali Alhussain ◽  
Mukhtar M. Salah ◽  
Hanan Haj Ahmed ◽  
M. S. Eliwa
Keyword(s):  
Competing Risks ◽  
Type Ii ◽  
Competing Risks Data
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