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Title: Linearized models with constraints of type I (English)
Author: Kubáček, Lubomír
Language: English
Journal: Applications of Mathematics
ISSN: 0862-7940
Volume: 48
Issue: 2
Year: 2003
Pages: 81-95
Summary lang: English
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Category: math
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Summary: In nonlinear regression models with constraints a linearization of the model leads to a bias in estimators of parameters of the mean value of the observation vector. Some criteria how to recognize whether a linearization is possible is developed. In the case that they are not satisfied, it is necessary to decide whether some quadratic corrections can make the estimator better. The aim of the paper is to contribute to the solution of the problem. (English)
Keyword: nonlinear regression model with constraints
Keyword: linearization
Keyword: quadratization
MSC: 62F10
MSC: 62J02
MSC: 62J05
idZBL: Zbl 1099.62523
idMR: MR1966342
DOI: 10.1023/A:1026038009693
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Date available: 2009-09-22T18:12:39Z
Last updated: 2015-05-18
Stable URL: http://hdl.handle.net/10338.dmlcz/134520
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