Results 271 to 280 of about 83,989 (289)

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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Estimating the Parameters of the Beta-Binomial Distribution

Educational and Psychological Measurement, 1979
For some situations the beta-binomial distribution might be used to describe the marginal distribution of test scores for a particular population of examinees. To use this distribution it is necessary to estimate two parameters which characterize the beta-binomial model.
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The Tilted Beta-Binomial Distribution in Overdispersed Data: Maximum Likelihood and Bayesian Estimation

Journal of Statistical Theory and Practice, 2022
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Analysis of Distributional Variation Through Graphical Multi-Scale Beta-Binomial Models

Journal of Computational and Graphical Statistics, 2018
Many scientific studies involve comparing multiple datasets collected under different conditions to identify the difference in the underlying distributions.
Li Ma, Jacopo Soriano
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Using the beta-binomial distribution for the analysis of biometric identification

2015 IEEE 13th International Symposium on Intelligent Systems and Informatics (SISY), 2015
In this paper we presented a method which could be used in the testing process of biometric devices on the side of users and costumers. The failed events during the biometrical identification are more common than the literature data, however there isn't any standard or widely accepted manual for the examinations.
Gabor A. Werner, Laszlo Hanka
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Evaluating the Multivariate Beta Binomial Distribution for Estimating Magazine and Internet Exposure Frequency Distributions

Journal of Advertising, 2011
This study introduces a newly developed media exposure model, called the Multivariate Beta Binomial Distribution (MBD) Model.
Yunjae Cheong, John D. Leckenby, Tim Eakin   +2 more
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Analysis of the short form‐36 (SF‐36): the beta‐binomial distribution approach

Statistics in Medicine, 2006
AbstractHealth‐related quality of life (HRQoL) is an important indicator of health status and the Short Form‐36 (SF‐36) is a generic instrument to measure it. Multiple linear regression (MLR) is often used to study the relationship of HRQoL with patients' characteristics, though HRQoL outcomes tend to be not normally distributed, skewed and bounded (e ...
Inmaculada, Arostegui, Vicente, Núñez-Antón, José M, Quintana   +2 more
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