Results 11 to 20 of about 3,825,355 (300)
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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An Exponential-Negative Binomial Distribution
Revstat Statistical Journal, 2013 A new three-parameter distribution is proposed for modeling lifetime data. It is advocated as most reasonable among the many exponential mixture type distributions proposed in recent years.
Sadegh Rezaei , Saralees Nadarajah
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The negative binomial-weighted Lindley distribution [PDF]
Decision Science Letters, 2019 This paper proposes a new distribution named the negative binomial-weighted Lindley. The study uses the maximum likelihood estimation to estimate the parameters of the proposed distribution and compares the performance of the new method with other ...
Sunthree Denthet , Pramoch Promin
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Early warning and predicting of COVID-19 using zero-inflated negative binomial regression model and negative binomial regression model [PDF]
BMC Infectious DiseasesBackground It is difficult to detect the outbreak of emergency infectious disease based on the exiting surveillance system. Here we investigate the utility of the Baidu Search Index, an indicator of how large of a keyword is in Baidu’s search volume, in ...
Wanwan Zhou +10 more
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Characterizations of Continuous Binomial and Negative Binomial Mixtures
Biometrical Journal, 1984 AbstractCharacterizations are given for binomial (n, ϑ) and negative binomial (k, ϑ) mixtures in terms of the regression function of the mixing random variableYon the mixture variableX.In both casesYis the parameter ϑ and the mixing distribution is a continuous distribution on (0, 1) and on (0, ∞) respectively. Biological applications are indicated.
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On bivariate generalized binomial and negative binomial distributions
Metrika, 1981 The present paper deals with two types of generalized general binomial (binomial or negative binomial) distributions: (i) a univariate general binomial generalized by a bivariate distribution and (ii) a bivariate general binomial generalized by two independent univariate distributions.
Charalambides, Ch.A., Papageorgiou, H.
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THE TRANSFORMATION OF POISSON, BINOMIAL AND NEGATIVE-BINOMIAL DATA
Biometrika, 1948 Anscombe, F.
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Negative Binomial Matrix Factorization [PDF]
IEEE Signal Processing Letters, 2020 We introduce negative binomial matrix factorization (NBMF), a matrix factorization technique specially designed for analyzing over-dispersed count data. It can be viewed as an extension of Poisson factorization (PF) perturbed by a multiplicative term which models exposure. This term brings a degree of freedom for controlling the dispersion, making NBMF
Olivier Gouvert +2 more
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The Negative $q$-Binomial [PDF]
The Electronic Journal of Combinatorics, 2012 Interpretations for the $q$-binomial coefficient evaluated at $-q$ are discussed. A $(q,t)$-version is established, including an instance of a cyclic sieving phenomenon involving unitary spaces.
Shishuo Fu +3 more
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Negative Binomial Additive Models [PDF]
Biometrics, 2000 Summary.The generalized additive model is extended to handle negative binomial responses. The extension is complicated by the fact that the negative binomial distribution has two parameters and is not in the exponential family. The methodology is applied to data involving DNA adduct counts and smoking variables among ex‐smokers with lung cancer. A more
Thurston, Sally W. +2 more
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