On Generalized Binomial and Multinomial Distributions and Their Relation to Generalized Poisson Distributions
AbstractThe binomial and multinomial distributions are, probably, the best known distributions because of their vast number of applications. The present paper examines some generalizations of these distributions with many practical applications. Properties of these generalizations are studied and models giving rise to them are developed. Finally, their relationship to generalized Poisson distributions is examined and limiting cases are given
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Bibliographic InfoPaper provided by University Library of Munich, Germany in its series MPRA Paper with number 6248.
Date of creation: 1986
Date of revision:
cluster binomial distribution; cluster multinomial distribution; generalized Poisson distribution;
Find related papers by JEL classification:
- C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
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- Xekalaki, Evdokia & Panaretos, John, 1983. "Identifiability of Compound Poisson Distributions," MPRA Paper 6244, University Library of Munich, Germany.
- Panaretos, John & Xekalaki, Evdokia, 1986.
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Elsevier, vol. 4(6), pages 313-318, October.
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"A Probability Distribution Associated With Events With Multiple Occurrences,"
6253, University Library of Munich, Germany.
- Panaretos, John & Xekalaki, Evdokia, 1989. "A probability distribution associated with events with multiple occurrences," Statistics & Probability Letters, Elsevier, vol. 8(4), pages 389-395, September.
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