Results 1 to 10 of about 373,626 (232)

An improved bound for negative binomial approximation with -functions

open access: goldAKCE International Journal of Graphs and Combinatorics, 2017
In this article, we use Stein’s method together with -functions to give an improved bound for the total variation distance between the distribution of a non-negative integer-valued random variable and the negative binomial distribution with parameters ...
K. Teerapabolarn
doaj   +2 more sources

An Exponential-Negative Binomial Distribution

open access: yesRevstat 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
doaj   +2 more sources

Early warning and predicting of COVID-19 using zero-inflated negative binomial regression model and negative binomial regression model [PDF]

open access: yesBMC Infectious Diseases
Background 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
doaj   +2 more sources

A Bivariate Model based on Compound Negative Binomial Distribution

open access: diamondRevista Colombiana de Estadística, 2018
A new bivariate model is introduced by compounding negative binomial and geometric distributions. Distributional properties, including joint, marginal and conditional distributions are discussed.
Maha Omair   +2 more
doaj   +2 more sources

Double Generalized Beta-Binomial and Negative Binomial Regression Models

open access: yesRevista 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
doaj   +3 more sources

Negative Binomial Matrix Factorization [PDF]

open access: yesIEEE 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
openaire   +3 more sources

Negative Binomial Additive Models [PDF]

open access: yesBiometrics, 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
openaire   +3 more sources

The Negative $q$-Binomial [PDF]

open access: yesThe 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.
Fu, S Fu, Shishuo   +3 more
openaire   +3 more sources

Factors Affecting Under-Five Mortality in Ethiopia: A Multilevel Negative Binomial Model

open access: greenPediatric Health, Medicine and Therapeutics, 2020
Bisrat Misganew Geremew, Kassahun Alemu Gelaye, Alemakef Wagnew Melesse, Temesgen Yihunie Akalu, Adhanom Gebreegziabher Baraki Department of Epidemiology and Biostatistics, Institute of Public Health, College of Medicine and Health Sciences, University ...
Geremew BM   +4 more
doaj   +1 more source

The negative binomial-weighted Lindley distribution [PDF]

open access: yesDecision 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
doaj   +1 more source

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