Results 291 to 300 of about 3,153,646 (349)

Weighted likelihood negative binomial regression

, 2013
Amiguet, Michael, Marazzi, Alfio, Yohai, Victor   +2 more
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Negative binomial regression

2007
This second edition of Hilbe's Negative Binomial Regression is a substantial enhancement to the popular first edition. The only text devoted entirely to the negative binomial model and its many variations, nearly every model discussed in the literature is addressed. The theoretical and distributional background of each model is discussed, together with
J. Hilbe
semanticscholar   +3 more sources

Nexus between air pollution and NCOV-2019 in China: Application of negative binomial regression analysis

Chemical Engineering Research and Design, 2021
Wasim Iqbal, Yuk Ming Tang, Ka-Yin Chau
exaly   +2 more sources

Flexible cloglog links for binomial regression models as an alternative for imbalanced medical data

Biometrical journal. Biometrische Zeitschrift, 2022
The complementary log‐log link was originally introduced in 1922 to R. A. Fisher, long before the logit and probit links. While the last two links are symmetric, the complementary log‐log link is an asymmetrical link without a parameter associated with ...
Jessica S.B. Alves, Jorge L. Bazán, R. Arellano-Valle   +2 more
semanticscholar   +1 more source

A new Stein estimator for the zero‐inflated negative binomial regression model

Concurrency and Computation, 2022
The Zero‐inflated negative binomial (ZINB) regression models are mainly applied for count data that shows over‐dispersion and extra zeros. Multicollinearity is considered to be a significant problem in the estimation of parameters in the ZINB regression ...
M. Akram, M. R. Abonazel, Muhammad Amin, B. G. Kibria, Nimrah Afzal   +4 more
semanticscholar   +1 more source

Some almost unbiased ridge regression estimators for the zero-inflated negative binomial regression model

Periodicals of Engineering and Natural Sciences (PEN), 2020
Zero-inflated negative binomial regression (ZINB) models are commonly used for count data that show overdispersion and extra zeros. The correlation among variables of the count data leads to the presence of a multicollinearity problem.
Y. Al-Taweel, Z. Algamal
semanticscholar   +1 more source

Macro-level collision prediction using geographically weighted negative binomial regression

Journal of Transportation Safety & Security, 2020
We developed and tested geographically weighted Poisson regression and geographically weighted negative binomial regression models using five year’s collisions, traffic, socio-demographic, road inventory, and land use data for Regina, Saskatchewan ...
S. Oluwajana, Peter Y. Park, Thais Cavalho   +2 more
semanticscholar   +1 more source

The VGAM package for negative binomial regression

Australian & New Zealand journal of statistics (Print), 2020
Negative binomial (NB) regression is the most common full‐likelihood method for analysing count data exhibiting overdispersion with respect to the Poisson distribution.
T. Yee
semanticscholar   +1 more source

Spatial zero-inflated negative binomial regression models: Application for estimating frequencies of rear-end crashes on Thai highways

Journal of Transportation Safety & Security, 2020
Objective: Rear-end crashes are a type of road traffic accident that occurs frequently. Currently, the application of advanced statistical models to predict the frequency of accident numbers has increased because such models enable accuracy in ...
Thanapong Champahom, Sajjakaj Jomnonkwao, Ampol Karoonsoontawong, V. Ratanavaraha   +3 more
semanticscholar   +1 more source