Left truncated and right censored Weibull data and likelihood inference with an illustration

DOI10.1016/J.CSDA.2012.05.004zbMath1255.62309OpenAlexW1987075352MaRDI QIDQ1927182

Debanjan Mitra, Narayanaswamy Balakrishnan

Publication date: 30 December 2012

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2012.05.004

zbMATH Keywords

EM algorithmcovariance matrixasymptotic varianceright censoringmaximum likelihood estimatesWeibull distributionleft truncationNewtonmissing information principlelife time dataasymptotic confidence intervalsEM gradient algorithmraphson method

Mathematics Subject Classification ID

Parametric tolerance and confidence regions (62F25) Censored data models (62N01) Monte Carlo methods (65C05) Estimation in survival analysis and censored data (62N02)

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Uses Software

• SPLIDA

Cites Work

• Estimation of parameters from progressively censored data using EM algorithm
• Prediction of remaining life of power transformers based on left truncated and right censored lifetime data
• Likelihood inference for lognormal data with left truncation and right censoring with an illustration
• The EM Algorithm and Extensions, 2E
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