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Title: Core functions and core divergences of regular distributions (English)
Author: Fabián, Zdeněk
Author: Vajda, Igor
Language: English
Journal: Kybernetika
ISSN: 0023-5954
Volume: 39
Issue: 1
Year: 2003
Pages: [29]-42
Summary lang: English
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Category: math
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Summary: On bounded or unbounded intervals of the real line, we introduce classes of regular statistical families, called Johnson families because they are obtained using generalized Johnson transforms. We study in a rigorous manner the formerly introduced concept of core function of a distribution from a Johnson family, which is a modification of the well known score function and which in a one-to-one manner represents the distribution. Further, we study Johnson parametrized families obtained by Johnson transforms of location and scale families, where the location is replaced by a new parameter called Johnson location. We show that Johnson parametrized families contain many important statistical models. One form appropriately normalized $L_2$ distance of core functions of arbitrary distributions from Johnson families is used to define a core divergence of distributions. The core divergence of distributions from parametrized Johnson families is studied as a special case. (English)
Keyword: Johnson transforms
Keyword: generalizedJohnson distributions
Keyword: core function of distributions
Keyword: core divergences of distributions
MSC: 62B10
MSC: 62E10
MSC: 62E15
idZBL: Zbl 1243.62016
idMR: MR1980122
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Date available: 2009-09-24T19:50:54Z
Last updated: 2015-03-23
Stable URL: http://hdl.handle.net/10338.dmlcz/135506
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Reference: [1] Fabián Z.: Information and entropy of continuous random variables.IEEE Trans. Inform. Theory 43 (1997), 1080–1083 MR 1454240, 10.1109/18.568724
Reference: [2] Fabián Z.: Induced cores and their use in robust parametric estimation.Commun. Statist. A – Theory Methods 30 (2001), 3, 537–556 Zbl 1009.62534, MR 1862941, 10.1081/STA-100002096
Reference: [3] Johnson N. L.: Systems of frequency curves generated by methods of translations.Biometrika 36 (1949), 149–176 MR 0033994, 10.1093/biomet/36.1-2.149
Reference: [4] Johnson N. L., Kotz S.: Continuous Univariate Distributions 1, 2.Houghton Mifflin, Boston 1970
Reference: [5] Zacks S.: The Theory of Statistical Inference.Wiley, New York 1971 Zbl 0321.62003, MR 0420923
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