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Title: A sufficient statistic and a nonstandard linearization in nonlinear regression (English)
Author: Pázman, Andrej
Language: English
Journal: Kybernetika
ISSN: 0023-5954
Volume: 25
Issue: 6
Year: 1989
Pages: 441-452
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Category: math
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MSC: 62B05
MSC: 62F15
MSC: 62F25
MSC: 62J02
MSC: 62K05
MSC: 62K99
idZBL: Zbl 0719.62073
idMR: MR1035150
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Date available: 2009-09-24T18:14:15Z
Last updated: 2012-06-05
Stable URL: http://hdl.handle.net/10338.dmlcz/124668
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Reference: [1] J. Anděl: Matematická statistika.(Mathematical Statistics.) SNTL/ALFA, Praha 1978.
Reference: [2] D. M. Battes, D. G. Watts: Relative curvature measures of nonlinearity.J. Roy. Statist. Soc. Ser. B 42 (1980), 1-25. MR 0567196
Reference: [3] L. Kubáček: Foundations of Estimation Theory.Elsevier, Amsterdam 1988. (Slovak edition: Základy teórie odhadu. Veda, Bratislava 1982.) MR 0995671
Reference: [4] A. Pázman: Probability distribution of the multivariate nonlinear least squares estimates.Kybernetika 20 (1984), 209-230. MR 0763647
Reference: [5] A. Pázman: On information matrices in nonlinear experimental design.J. Statist. Plann. Inference 21 (1989), 253-263. MR 0985462
Reference: [6] R. C. Rao: Linear Statistical Inference and Its Applications.J. Wiley, New York 1973. (Czech translation: Lineární metody statistické indukce a jejich aplikace. Academia, Praha 1978.) Zbl 0256.62002, MR 0346957
Reference: [7] A. Rényi: Teorie pravděpodobnosti.Academia, Praha 1972. (German original: Wahrscheinlichkeitsrechnung mit einem Anhang über Informationstheorie. VEB Deutscher Verlag d. Wissenschaften, Berlin 1962.) MR 0148088
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