Parametric Statistical Uncertainty Relations and Parametric Statistical Fundamental Equations |
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Authors: | T. Matsunawa |
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Affiliation: | (1) The Institute of Statistical Mathematics, 4-6-7 Minami-Azabu, Minato-ku, Tokyo, 106-8569, Japan |
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Abstract: | ![]() Multivariate parametric statistical uncertainty relations are proved to specify multivariate basic parametric statistical models. The relations are expressed by inequalities. They generally show that we cannot exactly determine simultaneously both a function of observation objects and a parametric statistical model in a compound parametric statistical system composed of observations and a model. As special cases of the relations, statistical fundamental equations are presented which are obtained as the conditions of attainment of the equality sign in the relations. Making use of the result, a generalized multivariate exponential family is derived as a family of minimum uncertainty distributions. In the final section, several multivariate distributions are derived as basic multivariate parametric statistical models. |
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Keywords: | Parametric statistical uncertainty relations parametric statistical fundamental equations specification of basic parametric statistical models specific intensity of model performance primary parameter secondary parameter minimum statistical uncertainty distributions |
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