Results 231 to 240 of about 28,079 (258)

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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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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Parameter estimation for the dirichlet-multinomial distribution using supplementary beta-binomial data

Communications in Statistics - Theory and Methods, 1988
We develop estimates for the parameters of the Dirichlet-multinomial distribution (DMD) when there is insufficient data to obtain maximum likelihood or method of moment estimates known in the literature. We do, however, have supplemetary beta-binomial data pertaining to the marginals of the DMD, and use these data when estimating the DMD parameters.
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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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Modeling microbial abundances and dysbiosis with beta-binomial regression

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