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A class of estimators of the parameters in linear regression with censored data

A class of estimators of the parameters in linear regression with censored data This paper proposes a new class of estimators of parameters in linear regression model with censored data. It also contains sufficient conditions under which these estimators are strongly consistent and asymptotically normal. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Acta Mathematicae Applicatae Sinica Springer Journals

A class of estimators of the parameters in linear regression with censored data

Acta Mathematicae Applicatae Sinica , Volume 3 (3) – Jul 13, 2005

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References (10)

Publisher
Springer Journals
Copyright
Copyright © 1987 by Science Press, Beijing, China and Allerton Press, Inc. New York, U.S.A.
Subject
Mathematics; Applications of Mathematics; Math Applications in Computer Science; Theoretical, Mathematical and Computational Physics
ISSN
0168-9673
eISSN
1618-3932
DOI
10.1007/BF02007667
Publisher site
See Article on Publisher Site

Abstract

This paper proposes a new class of estimators of parameters in linear regression model with censored data. It also contains sufficient conditions under which these estimators are strongly consistent and asymptotically normal.

Journal

Acta Mathematicae Applicatae SinicaSpringer Journals

Published: Jul 13, 2005

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