Results 221 to 230 of about 28,079 (258)

A generalization of the bivariate Beta-Binomial distribution

Journal of Statistical Planning and Inference, 2011
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Olmo-Jiménez, M. J., Martínez-Rodríguez, A. M., Conde-Sánchez, A., Rodríguez-Avi, J.   +3 more
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Moment estimators for the beta-binomial distribution

Journal of Applied Statistics, 1992
A new moment estimator of the dispersion parameter of the beta-binomial distribution is proposed. It is derived by the method of moments which is constrained to satisfy the unbiasedness of the estimating equation. It gives a better performance than those of the usual moment estimators and the stabilized moment estimator proposed by Tamura & Young.
E. Yamamoto, T. Yanagimoto
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A Stabilized Moment Estimator for the Beta-Binomial Distribution

Biometrics, 1987
The beta-binomial distribution has been proposed as a model for the incorporation of historical control data in the analysis of rodent carcinogenesis bioassays. Low spontaneous tumor incidences along with the small number and sizes of historical control groups combine to make the moment and maximum likelihood estimates of the beta-binomial parameters ...
R N, Tamura, S S, Young
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Estimation Bias Using the Beta-Binomial Distribution in Teratology

Biometrics, 1988
Kupper et al. (1986, Biometrics 42, 85-98) considered the fitting of dose-response regressions to litter proportions in teratology experiments. They found that the estimators which maximise the beta-binomial likelihood become biased when the intralitter correlation is incorrectly assumed to be homogeneous.
D. A. Williams, Lawrence L. Kupper, Christopher Portier, Michael D. Hogan   +3 more
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Unimodal Behavior of the Negative Beta Binomial Distribution

Sigmae, 2015
Neste artigo apresenta-se um estudo sobre o comportamento da distribuição BetaBinomial Negativa em relação a sua moda. Aplica-se este estudo quando essa distribuição é dada através de uma distribuição hipergeométrica equivalente multiplicada pela verossimilhança cada distribuição Binomial Negativa.
Pedro F. Lima, Cláudio T. Cristino, Cícero Carlos F. Oliveira   +2 more
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Empirical-distribution-function Tests for the Beta-Binomial Model

Journal of Applied Statistics, 2007
Abstract Empirical-distribution-function (EDF) goodness-of-fit tests are considered for the beta-binomial model. The testing procedures based on EDF statistics are given. A Monte Carlo study is conducted to investigate the accuracy and power of the tests against various alternative distributions.
Chien-Tai Lin, Cheng-Chieh Chou
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Library book circulation and the beta-binomial distribution

Journal of the American Society for Information Science, 1987
Library book circulation does not appear to be a Poisson process. It is proposed that a binomial process is more logical and that the mixture distribution for individual book popularities is a continuous beta distribution. Three examples are given which indicate the superiority of the beta—over the negative binomial distribution.
E. Gelman, H. S. Sichel
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Characterization of beta, binomial, and Poisson distributions

IEEE Transactions on Reliability, 1991
Summary: Characterizations of beta, binomial, and Poisson distributions are presented by using conditional expectations. A necessary and sufficient condition is given in terms of the failure rate of each distribution. Some practical applications are presented.
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The Analysis of Chromosomally Aberrant Cells Based on Beta-Binomial Distribution

Radiation Research, 1984
Analysis carried out here generalized on earlier studies of chromosomal aberrations in the populations of Hiroshima and Nagasaki, by allowing extrabinomial variation in aberrant cell counts corresponding to within-subject correlations in cell aberrations.
M, Otake, R L, Prentice
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Bayesian Inference for the Beta-Binomial Distribution via Polynomial Expansions

Journal of Computational and Graphical Statistics, 2002
A commonly used paradigm in modeling count data is to assume that individual counts are generated from a Binomial distribution, with probabilities varying between individuals according to a Beta distribution. The marginal distribution of the counts is then Beta-Binomial. Bradlow, Hardie, and Fader (2002, p.
Everson, Philip J., Bradlow, E. T.
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