Statistical analysis of middle censored competing risks data with exponential distribution

DOI10.1080/00949655.2017.1357721OpenAlexW2741160127WikidataQ115551886 ScholiaQ115551886MaRDI QIDQ5106991

M. Rezaei, Kambiz Ahmadi, Fatemeh Yousefzadeh

Publication date: 22 April 2020

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00949655.2017.1357721

zbMATH Keywords

exponential distributioncompeting risksmiddle censoringpoint reconstructionBayesian estimate

Mathematics Subject Classification ID

Censored data models (62N01) Estimation in survival analysis and censored data (62N02)

Related Items (4)

Inferences on cumulative incidence function for middle censored survival data with Weibull regression ⋮ Middle censoring in the multinomial distribution with applications ⋮ Statistical Inference of the Competing Risks Model with Modified Weibull Distribution Under Adaptive Type-II Progressive Hybrid Censoring ⋮ Estimation of Cumulative Incidence Function in the Presence of Middle Censoring Using Improper Gompertz Distribution

Uses Software

• SPLIDA

Cites Work

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• Statistical inference for discrete middle-censored data
• Analysis of middle-censored data with exponential lifetime distributions
• Exact inference for a simple step-stress model with competing risks for failure from exponential distribution under type-II censoring
• On some predictors of times to failure of censored items in progressively censored samples
• On progressively censored competing risks data for Weibull distributions
• Analysis of incomplete data in presence of competing risks.
• Approximate self consistency for middle-censored data
• Analysis of interval-censored data with Weibull lifetime distribution
• Statistical inference on middle-censored data in a dependent setup
• Estimation for exponential distribution based on competing risk middle censored data
• Pitman closeness, monotonicity and consistency of best linear unbiased and invariant estimators for exponential distribution under Type II censoring
• Accelerated Testing
• Nonparametric estimation for middle-censored data
• Bayesian reconstruction of the missing failure times in exponential distribution
• Prediction for future failures in Weibull distribution under hybrid censoring
• Analysis of progressively type-I interval censored competing risks data for a class of an exponential distribution
• Handbook of Exponential and Related Distributions for Engineers and Scientists

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