Inference of progressively censored competing risks data from Kumaraswamy distributions
type: Item
instance of: scholarly article
title: Inference of progressively censored competing risks data from Kumaraswamy distributions
zbMATH Open document ID: 1392.62298
author: Liang Wang
published in: Journal of Computational and Applied Mathematics
publication date: 2018-06-20T00:00:00Z
Mathematics Subject Classification ID: 62N02
Mathematics Subject Classification ID: 62F10
Mathematics Subject Classification ID: 62F15
Mathematics Subject Classification ID: 62N05
zbMATH DE Number: 6892296
zbMATH Keywords: Kumaraswamy distribution
zbMATH Keywords: competing risks
zbMATH Keywords: progressive censoring
zbMATH Keywords: maximum likelihood estimation
zbMATH Keywords: Bayesian estimation
zbMATH Keywords: Monte Carlo simulation
MaRDI profile type: Publication
full work available at URL: j.cam.2018.05.013
OpenAlex ID: W2804665992
cites work: Progressively type-II censored competing risks data from Lomax distributions
cites work: On progressively censored competing risks data for Weibull distributions
cites work: Proportional hazards model for competing risks data with missing cause of failure
cites work: Exact inference for a simple step-stress model with competing risks for failure from exponential distribution under type-II censoring
cites work: Accelerated life test planning with independent lognormal competing risks
cites work: Progressive censoring methodology: an appraisal (with comments and rejoinder)
cites work: Kumaraswamy's distribution: a beta-type distribution with some tractability advantages
cites work: Probabilistic design of systems with general distributions of parameters
cites work: Nonparametric estimation of cause-specific cross hazard ratio with bivariate competing risks data
cites work: Classical and Bayesian estimation ofP(Y<X) for Kumaraswamy's distribution
cites work: On the Bayesian inference of Kumaraswamy distributions based on censored samples
cites work: Grid methods in simulation and random variate generation
cites work: Test of fit for Marshall-Olkin distributions with applications
cites work: Bivariate Kumaraswamy distribution: properties and a new method to generate bivariate classes
Wikidata QID: Q129813582
DOI: 10.1016/J.CAM.2018.05.013
description: scientific article; zbMATH DE number 6892296