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math.ST2006
A Comparison of Information Concerning the Regression Parameter in The Accelerated Failure Time Model under Current Duration and Length Biased Sampling: Does it Pay to be Patient?
Bert van Es, Chris A. J. Klaassen, Philip J. Mokveld
Longitudinal observations are sometimes costly or not available. Cross sectional sampling can be an alternative. Observations are drawn then at a specific point in time from a popu…
math.ST2003
Efficient estimation in the accelerated failure time model under cross sectional sampling
Chris A. J. Klaassen, Philip J. Mokveld, Bert van Es
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 reg…
math.ST2002
Asymptotically efficient estimation of linear functionals in inverse regression models
Chris A. J. Klaassen, Eun-Joo Lee, Frits H. Ruymgaart
In this paper we will discuss a procedure to improve the usual estimator of a linear functional of the unknown regression function in inverse nonparametric regression models. In Kl…