Some analogies between the class of infinitely divisible distributions and the class ℒ of distributions
L. Kubik (1963)
Studia Mathematica
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L. Kubik (1963)
Studia Mathematica
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L. Kubik (1962)
Studia Mathematica
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Matthev O. Ojo (2001)
Kragujevac Journal of Mathematics
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Fabrizio Durante, Giovanni Puccetti, Matthias Scherer, Steven Vanduffel (2016)
Dependence Modeling
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B. Kopociński, E. Trybusiowa (1966)
Applicationes Mathematicae
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Jan Mikusiński, Roman Sikorski
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CONTENTS Introduction........................................................................................................... 3 § 1. The abstraction principle............................................................................... 4 § 2. Fundamental sequences of continuous functions......................................... 5 § 3. The definition of distributions........................................................................ 9 § 4. Distributions as a generalization of...
A. Derdziński (1977)
Colloquium Mathematicae
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Stevan Pilipović (1988)
Publications de l'Institut Mathématique
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Grzegorz Łysik (1990)
Annales Polonici Mathematici
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Aryal, Gokarna, Nadarajah, Saralees (2004)
Serdica Mathematical Journal
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2000 Mathematics Subject Classification: 33C90, 62E99. The Fisher information matrix for three generalized beta distributions are derived.
Jarosław Bartoszewicz (1997)
Applicationes Mathematicae
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Generalizations of the hazard functions are proposed and general hazard rate orders are introduced. Some stochastic orders are defined as general ones. A unified derivation of relations between the dispersive order and some other orders of distributions is presented
Ricardo Estrada (2010)
Banach Center Publications
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It is well-known that any locally Lebesgue integrable function generates a unique distribution, a so-called regular distribution. It is also well-known that many non-integrable functions can be regularized to give distributions, but in general not in a unique fashion. What is not so well-known is that to many distributions one can associate an ordinary function, the function that assigns the distributional point value of the distribution at each point where the value exists, and that...