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Updated: Jun 29, 2025

An R-Based Landscape Validation of a Competing Risk Model
Published on: September 16, 2022
Statistical inference for Nadarajah-Haghighi distribution under unified hybrid censored competing risks data
1Department of Mathematics, Faculty of Sciences, Umm AL-Qura University, Saudi Arabia.
Abstract:
Nadarajah and Haghighi distribution (NHD) inferences problem has been discussed under unified hybrid censoring scheme (UHCS) in the existence of competing risks model. Competing risks model is defined by time-to-failure under more than one cause of failure, which can be dependent or independent. This study focuses on discussing the case of failure partially observed causes of failure competing risks model. We obtain various inferences: we first obtain the MLE, in addition, we construct approximate confidence intervals (ACIs). Second, we obtain the Bayes estimator via SELF and related highest posterior density (HPD) using Markov Chain Monte Carlo (MCMC). Finally, an electrical appliances data set and simulation studies have been analyzed for further illustrations.
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