Stochastic EM algorithms for parametric and semiparametric mixture models for right-censored lifetime data

DOI10.1007/s00180-016-0661-7zbMath1348.65016OpenAlexW2396554979MaRDI QIDQ333388

Didier Chauveau, Laurent Bordes

Publication date: 28 October 2016

Published in: Computational Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00180-016-0661-7

zbMATH Keywords

reliabilitysurvival datacensored datastochastic EM algorithmfinite mixturesemiparametric mixtures

Mathematics Subject Classification ID

Asymptotic properties of parametric estimators (62F12) Computational methods for problems pertaining to statistics (62-08) Nonparametric estimation (62G05) Point estimation (62F10) Censored data models (62N01)

Related Items (3)

Estimating the parameters of twofold Weibull mixture model in right-censored reliability data by using genetic algorithm ⋮ Mixture modeling of data with multiple partial right-censoring levels ⋮ Fitting Censored and Truncated Regression Data Using the Mixture of Experts Models

Uses Software

• R
• survival
• Rmpi
• mixtools

Cites Work

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