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Bivariate discrete distributions

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The article was published on 1992-05-18 and is currently open access. It has received 324 citations till now. The article focuses on the topics: Bivariate analysis.

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Citations
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Journal ArticleDOI

Analysis of sports data by using bivariate Poisson models

TL;DR: In this paper, a bivariate Poisson model and its extensions are proposed to model the number of goals of two competing teams in a football game, which is a plausible assumption in sports with two opposing teams competing against each other.
Posted Content

Mixed Poisson Distributions

TL;DR: A review of the existing literature on Poisson mixtures by bringing together a great number of properties, while, at the same time, providing tangential information on general mixtures is made in this paper.
Dissertation

Probability models for information retrieval based on divergence from randomness

TL;DR: This thesis devises a novel methodology based on probability theory, suitable for the construction of term-weighting models of Information Retrieval, and shows that even language modelling approach can be exploited to assign term-frequency normalization to the models of divergence from randomness.
Journal ArticleDOI

Mixed Poisson Distributions

TL;DR: A review of the existing literature on Poisson mixtures by bringing together a great number of properties, while, at the same time, providing tangential information on general mixtures is provided in this article.
Journal ArticleDOI

Long-term clinical protection from falciparum malaria is strongly associated with IgG3 antibodies to merozoite surface protein 3.

TL;DR: The results provide the encouraging indication that anti-MSP3 IgG3 antibodies can naturally develop along with protection against P. falciparum infection in young children, and support the further development of MSP3-based vaccine formulations.
References
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Journal ArticleDOI

Estimation for the bivariate Poisson distribution

Philip Holgate
- 01 Jun 1964 - 
TL;DR: In this article, the covariance parameter of the bivariate Poisson distribution is estimated using the method of moments and an iterative method of solving the likelihood equation, and the numerical results of applying the maximum-likelihood method to two sets of data are given as illustrations.
Journal ArticleDOI

On the Mixture of Distributions

TL;DR: In this paper, a sufficient and necessary condition for a mixture of normal distributions to be normal was given for a product-measure mixture, and a necessary and sufficient condition was given in the case of a product measure mixture.