A large-scale monte carlo study of the buckley-james estimator with censored data

DOI10.1080/00949659508811626zbMath0846.62052OpenAlexW1989709063MaRDI QIDQ4869575

Cheng-Sheng Peter Wu, Yvonne Zubovic

Publication date: 26 March 1996

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

Full work available at URL: https://doi.org/10.1080/00949659508811626

zbMATH Keywords

linear modelsample variancecensoringBuckley-James estimatorfailure distributionslarge-scale Monte Carlo simulation

Mathematics Subject Classification ID

Linear regression; mixed models (62J05) Monte Carlo methods (65C05) Probabilistic methods, stochastic differential equations (65C99)

Related Items (1)

Application of Local Influence Diagnostics to the Buckley-James Model

Cites Work

• Estimation in a linear regression model with censored data
• Consistency results for linear regression with censored data
• Regression analysis with randomly right-censored data
• Linear Models, Random Censoring and Synthetic Data
• Estimation in linear models with censored data
• Linear regression with censored data
• Regression with censored data
• Least squares regression with censored data

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