Efficient estimation in the accelerated failure time model under cross sectional sampling

Bert van Es (KdV-Institute; Chris A.J. Klaassen; Philip J. Mokveld; University of Amsterdam)

arxiv: math/0305234 · v1 · submitted 2003-05-16 · 🧮 math.ST · stat.TH

Efficient estimation in the accelerated failure time model under cross sectional sampling

Chris A.J. Klaassen , Philip J. Mokveld , Bert van Es (KdV-Institute , University of Amsterdam) This is my paper

classification 🧮 math.ST stat.TH

keywords modelacceleratedcrossefficientestimationfailureparameterregression

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Consider estimation of the regression parameter in the accelerated failure time model, when data are obtained by cross sectional sampling. It is shown that it is possible under regularity of the model to construct an efficient estimator of the unknown Euclidean regression parameter if the distribution of the covariate vector is known and also if it is unknown with vanishing mean.

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Efficient estimation in the accelerated failure time model under cross sectional sampling

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