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Title: Second-order approximation of the entropy in nonlinear least-squares estimation (English)
Author: Pronzato, Luc
Author: Pázman, Andrej
Language: English
Journal: Kybernetika
ISSN: 0023-5954
Volume: 30
Issue: 2
Year: 1994
Pages: 187-198
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Category: math
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MSC: 62E17
MSC: 62E20
MSC: 62F12
MSC: 62J02
MSC: 62K05
idZBL: Zbl 0812.62071
idMR: MR1283494
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Date available: 2009-09-24T18:46:14Z
Last updated: 2012-06-06
Stable URL: http://hdl.handle.net/10338.dmlcz/124997
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Related article: http://dml.cz/handle/10338.dmlcz/125232
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Reference: [1] S. Amari: Differential-Geometrical Methods in Statistics.Springer, Berlin 1985. Zbl 0559.62001, MR 0788689
Reference: [2] D. Bates, D. Watts: Relative curvature measures of nonlinearity.J. Roy. Statist. Soc. Ser. B 42 (1980), 1-25. Zbl 0455.62028, MR 0567196
Reference: [3] M. Box: Bias in nonlinear estimation.J. Roy. Statist. Soc. Ser. B 33 (1971), 171-201. Zbl 0232.62029, MR 0315827
Reference: [4] G. Clarke: Moments of the least-squares estimators in a non-linear regression model.J. Roy. Statist. Soc. Ser. B 42 (1980), 227-237. Zbl 0436.62054, MR 0583361
Reference: [5] P. Hougaard: Saddlepoint approximations for curved exponential families.Statist. Probab. Lett. 3 (1985), 161-166. Zbl 0573.62016, MR 0801863
Reference: [6] A. Pázman: Probability distribution of the multivariate nonlinear least-squares estimates.Kybernetika 20 (1984), 209-230. MR 0763647
Reference: [7] A. Pázman: Small-sample distributional properties of nonlinear regression estimators (a geometric approach) (with discussion).Statistics 21 (1990), 3, 323-367. MR 1062847
Reference: [8] N. Reid: Saddlepoint methods and statistical inference.Statist. Sci. 3 (1988), 213-238. Zbl 0955.62541, MR 0968390
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