Weighted empiricals and the product-limit estimator in the multiplicative hazard and time transfer regression model

DOI10.1016/0167-7152(95)00196-4zbMath0903.62036OpenAlexW2008163884WikidataQ127497532 ScholiaQ127497532MaRDI QIDQ1129455

Song Yang

Publication date: 6 January 1999

Published in: Statistics \& Probability Letters (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0167-7152(95)00196-4

zbMATH Keywords

weighted empirical processesaccelerated life modelmultiplicative hazard regression model

Mathematics Subject Classification ID

Density estimation (62G07) Asymptotic properties of nonparametric inference (62G20) Point estimation (62F10) Reliability and life testing (62N05)

Cites Work

• Cox's regression model for counting processes: A large sample study
• Estimating regression parameters using linear rank tests for censored data
• Large sample behaviour of the product-limit estimator on the whole line
• Correction to: Probability inequalities for empirical processes and a law of the iterated logarithm
• Properties of the empirical distribution function for independent nonidentically distributed random variables
• Some new estimators for Cox regression
• Monotone estimating equations for censored data
• Nonparametric Estimation from Incomplete Observations
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