Analysis of Gamma and Weibull lifetime data under a general censoring scheme and in the presence of covariates

DOI10.1080/03610926.2015.1041981zbMath1422.62301OpenAlexW2330299139MaRDI QIDQ2978993

Nathan Bennett, Srikanth K. Iyer, Sreenivasa Rao Jammalamadaka

Publication date: 2 May 2017

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://escholarship.org/uc/item/4sg7436x

zbMATH Keywords

EM algorithmgamma distributionWeibull distributionaccelerated failure time modelmiddle censoringmaximum-likelihood estimators

Mathematics Subject Classification ID

Applications of statistics to economics (62P20) Nonparametric estimation (62G05) Censored data models (62N01) Estimation in survival analysis and censored data (62N02) Reliability and life testing (62N05)

Related Items (1)

Semiparametric Models with Covariates for Lifetime Data under a General Censoring Scheme with an Application to Contingent Valuation

Cites Work

• Unnamed Item
• A general censoring scheme for circular data
• Analysis of middle-censored data with exponential lifetime distributions
• On the convergence properties of the EM algorithm
• A large sample study of generalized maximum likelihood estimators from incomplete data via self-consistency
• Analysis of interval-censored data with Weibull lifetime distribution
• Maximum likelihood for interval censored data: Consistency and computation
• Nonparametric estimation for middle-censored data

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