Results 261 to 270 of about 5,240,370 (291)

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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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. One method of estimating these parameters is to approximate the maximum likelihood
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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 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 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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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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Using the Beta-Binomial Distribution to Describe Aggregated Patterns of Disease Incidence

Phytopathology®
We discuss the use of the beta-binomial distribution for the description of plant disease incidence data, collected on the basis of scoring plants as either “diseased” or “healthy”. The beta-binomial is a discrete probability distribution derived by regarding the probability of a plant being diseased (a constant in the binomial distribution) as a beta-
G, Hughes, L V, Madden
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USING THE BETA-BINOMIAL DISTRIBUTION TO ASSESS PERFORMANCE OF A BIOMETRIC IDENTIFICATION DEVICE

International Journal of Image and Graphics, 2003
This paper discusses the use of the Beta-binomial distribution to estimate the matching performance of a biometric identification device. Specifically, the Beta-binomial distribution can be used to assess the variability in estimates of the false match and the false non-match rates when multiple users are tested more than once.
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A measure for spatial heterogeneity of a grassland vegetation based on the beta‐binomial distribution

Journal of Vegetation Science, 2000
Abstract.A method is proposed to estimate the frequency and the spatial heterogeneity of occurrence of individual plant species composing the community of a grassland or a plant community with a short height. The measure is based on the beta‐binomial distribution.
Masae Shiyomi, Shigeo Takahashi, Jin Yoshimura   +2 more
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Modeling microbial abundances and dysbiosis with beta-binomial regression

Annals of Applied Statistics, 2020
Amy Willis, Bryan D Martin, Daniela Witten   +2 more
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