A k-Sample Problem with Censored Data

Schick, A.; Susarla, V.

doi:10.1007/978-94-009-3965-3_20

A. Schick⁴ &
V. Susarla⁴

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2 Citations

Abstract

In this paper, we address the question of asymptotically efficient estimation in randomly right censored regression models. We allow the censoring distributions to depend on the covariate. For simplicity, we consider only situations in which the covariates come from a finite set. We provide a characterization of efficient estimates, describe a general method for the construction of such estimates and carry out this construction when the censoring distributions are known.

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Authors and Affiliations

Department of Mathematical Sciences, State University of New York at Binghamton, Binghamton, New York, 13901, USA
A. Schick & V. Susarla

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A. Schick
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V. Susarla
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Editor information

Editors and Affiliations

University of Cologne, Germany
P. Bauer
University of Agriculture, Vienna, Austria
F. Konecny
Technical University, Vienna, Austria
W. Wertz

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Schick, A., Susarla, V. (1987). A k-Sample Problem with Censored Data. In: Bauer, P., Konecny, F., Wertz, W. (eds) Mathematical Statistics and Probability Theory. Springer, Dordrecht. https://doi.org/10.1007/978-94-009-3965-3_20

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DOI: https://doi.org/10.1007/978-94-009-3965-3_20
Publisher Name: Springer, Dordrecht
Print ISBN: 978-94-010-8259-4
Online ISBN: 978-94-009-3965-3
eBook Packages: Springer Book Archive

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