Results 11 to 20 of about 5,487,097 (292)
Bernstein-type approximation using the beta-binomial distribution
Statistica, 2013 The Bernstein-type approximation using the beta-binomial distribution is proposed and studied. Both univariate and multivariate Bernstein-type approximations are studied. The uniform convergence and the degree of approximation are studied.
Andrea Pallini
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A Bimodal Extension of the Beta-Binomial Distribution with Applications [PDF]
AxiomsIn this paper, we propose an alternative distribution to model count data exhibiting uni/bimodality. It arises as a weighted version of the beta-binomial distribution, which is defined by a parametric weight function that admits up to two modes for the ...
Jimmy Reyes +4 more
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The Beta-Binomial Distribution [PDF]
, 2023 The beta-binomial distribution can be thought of as a binomial distribution where the probability of success in each trial is not fixed but follows a beta distribution. It is often used to capture correlation in a sequence of Bernoulli trials or to model over-dispersion.
Hodel, Florian, Booth, James
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Double Generalized Beta-Binomial and Negative Binomial Regression Models [PDF]
Revista Colombiana de Estadística, 2017 Overdispersion is a common phenomenon in count datasets, that can greatly affect inferences about the model. In this paper develop three joint mean and dispersion regression models in order to fit overdispersed data.
EDILBERTO CEPEDA-CUERVO +1 more
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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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Modeling Stochastic Crop Yield Expectations with a Limiting Beta Distribution [PDF]
Journal of Agricultural and Resource Economics, 2011 The use of plausible stochastic price processes in price risk analysis has allowed advances not seen in crop yield risk analysis. This study develops a stochastic process for yield modeling and risk management.
David A. Hennessy
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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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Generalised score distribution: underdispersed continuation of the beta-binomial distribution
Statistical Papers, 2023 AbstractConsider a class of discrete probability distributions with a limited support. A typical example of such support is some variant of a Likert scale, with a response mapped to either the $$\{1, 2, \ldots , 5\}$$ { 1 , 2 ,
Bogdan Ćmiel +3 more
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Modelling overdispersion with the normalized tempered stable distribution [PDF]
, 2010 This paper discusses a multivariate distribution which generalizes the Dirichlet distribution and demonstrates its usefulness for modelling overdispersion in count data.
Griffin, Jim E. +6 more
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, 2023 β-binomial distributions for identical mean: μ, μ1 = 12 but different standard deviations: σ = 3, σ1 = 5. The dotted lines signifies the mean of the distribution where as the shaded area is the standard deviation across 5 trials. (PNG)
François-Xavier Dupé (17364494) +3 more
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