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Title: Asymptotic behaviour of an estimator based on Rao's divergence (English)
Author: Pardo, María Carmen
Language: English
Journal: Kybernetika
ISSN: 0023-5954
Volume: 33
Issue: 5
Year: 1997
Pages: 489-504
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Category: math
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MSC: 62B10
MSC: 62F12
idZBL: Zbl 0945.62007
idMR: MR1603953
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Date available: 2009-09-24T19:11:00Z
Last updated: 2012-06-06
Stable URL: http://hdl.handle.net/10338.dmlcz/125396
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Reference: [2] J. Burbea, C. R. Rao: On the convexity of some divergence measures based on entropy functions.IEEE Trans. Inform. Theory 28 (1982), 489-495. Zbl 0479.94009, MR 0672884
Reference: [3] D. G. Dannenbring: Procedures for estimating optimal solution values for large combinatorial problems.Management Sci. 23 (1977), 1273-1283. Zbl 0377.90051
Reference: [4] J. C. Fryer, C. A. Robertson: A comparison of some methods for estimating mixed normal distributions.Biometrika 59 (1972), 639-648. Zbl 0255.62033, MR 0339387
Reference: [5] J. Kiefer, J. Wolfowitz: Consistency of the ML estimator in the presence of infinitely many incidental parameters.Ann. Math. Statist. 27 (1956), 887-906. MR 0086464
Reference: [6] S. Kullback, R. Leibler: On information and sufficiency.Ann. Math. Statist. 22 (1951), 79-86. Zbl 0042.38403, MR 0039968
Reference: [7] D. Morales L. Pardo, I. Vajda: Asymptotic divergence of estimates of discrete distributions.J. Statist. Plann. Inference 48 (1955), 347-369. MR 1368984
Reference: [8] M. C. Pardo, I. Vajda: About distances of discrete distributions satisfying the data processing theorem on information theory.IEEE Trans. Inform. Theory 43 (1997), 4, 1288-1293. MR 1454961
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