On hypergeometric generalized negative binomial distribution.
Ghitany, M.E., Al-Awadhi, S.A., Kalla, S.L. (2002)
International Journal of Mathematics and Mathematical Sciences
Similarity:
Ghitany, M.E., Al-Awadhi, S.A., Kalla, S.L. (2002)
International Journal of Mathematics and Mathematical Sciences
Similarity:
Gejza Wimmer, Gabriel Altmann (2000)
Acta Universitatis Palackianae Olomucensis. Facultas Rerum Naturalium. Mathematica
Similarity:
Pienaru, Ioan (1996)
General Mathematics
Similarity:
Tadeusz Gerstenkorn (2004)
Open Mathematics
Similarity:
This paper presents a compound of the generalized negative binomial distribution with the generalized beta distribution. In the introductory part of the paper, we provide a chronological overview of recent developments in the compounding of distributions, including the Polish results. Then, in addition to presenting the probability function of the compound generalized negative binomial-generalized beta distribution, we present special cases as well as factorial and crude moments of some...
Katarzyna Steliga, Dominik Szynal (2015)
Applicationes Mathematicae
Similarity:
The aim of this article is to give new formulae for central moments of the binomial, negative binomial, Poisson and logarithmic distributions. We show that they can also be derived from the known recurrence formulae for those moments. Central moments for distributions of the Panjer class are also studied. We expect our formulae to be useful in many applications.
William C. Guenther (1981)
Trabajos de Estadística e Investigación Operativa
Similarity:
Although cumulative probabilities for the Pólya-Eggenberger distributions can be easily found in modern computing facilities, the special cases s=1 can be handled with hypergeometric tables. Applications are mentioned.
H. Papageorgiou (1988)
Applicationes Mathematicae
Similarity:
Tadeusz Gerstenkorn
Similarity:
CONTENTS1. The presentation of the problem........................................................................................................ 51.1. Introduction.......................................................................................................................................... 51.2. The presentation of the known results........................................................................................... 52. The recurrence relations for the moments about...
Saralees Nadarajah (2009)
Applicationes Mathematicae
Similarity:
Differences of two proportions occur most frequently in biomedical research. However, as far as published work is concerned, only approximations have been used to study the distribution of such differences. In this note, we derive the exact probability distribution of the difference of two proportions for seven flexible beta type distributions. The expressions involve several well known special functions. The use of these results with respect to known approximations is illustrated. ...
Małgorzata Murat, Dominik Szynal (2000)
Discussiones Mathematicae Probability and Statistics
Similarity:
In this paper, we study the class of inflated modified power series distributions (IMPSD) where inflation occurs at any of support points. This class includes among others the generalized Poisson,the generalized negative binomial and the lost games distributions. We derive the Bayes estimators of parameters for these distributions when a parameter of inflation is known. First, we take as the prior distribution the uniform, Beta and Gamma distribution. In the second part of this paper,...
Ch.A. Charalambides, H. Papageorgiou (1981)
Metrika
Similarity:
Adrienne W. Kemp (1978)
Applicationes Mathematicae
Similarity:
Grzegorz Łysik (1990)
Annales Polonici Mathematici
Similarity:
Jan Mikusiński, Roman Sikorski
Similarity:
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...