Results 41 to 50 of about 540,910 (340)

Generalized ridge estimator in negative binomial regression model

open access: yes, 2021
The ridge estimator has been consistently demonstrated to be an attractive shrinkage method to reduce the effects of multicollinearity. The negative binomial regression model (NBRM) is a well-known model in application when the response variable is a ...
N. Rashad, N. Hammood, Z. Algamal
semanticscholar   +1 more source

Spatial Interaction Modeling of OD Flow Data: Comparing Geographically Weighted Negative Binomial Regression (GWNBR) and OLS (GWOLSR) [PDF]

open access: goldISPRS Int. J. Geo Inf., 2019
Due to the emergence of new big data technology, mobility data such as flows between origin and destination areas have increasingly become more available, cheaper, and faster.
Lianfa Zhang, Jianquan Cheng, Cheng Jin
openalex   +2 more sources

Modeling the Count Data of Public Health Service Visits with Overdispersion Problem by Using Negative Binomial Regression

open access: yes, 2021
The count data of health service visits can be modeled into Poisson regression analysis, where there is no overdispersion assumption by looking at the comparison between mean and variance.
Eha Espinoza   +3 more
semanticscholar   +1 more source

PEMODELAN DATA KEMATIAN BAYI DENGAN GEOGRAPHICALLY WEIGHTED NEGATIVE BINOMIAL REGRESSION

open access: yesMedia Statistika, 2016
Overdispersion phenomenon and the influence of location or spatial aspect on data are handled using Binomial Geographically Weighted Regression (GWNBR).
Riza F. Ramadhan, Robert Kurniawan
doaj   +1 more source

Using Zero-inflated Count Regression Models To Estimate The Fertility Of U. S. Women [PDF]

open access: yes, 2003
In the modeling of count variables there is sometimes a preponderance of zero counts. This article concerns the estimation of Poisson regression models (PRM) and negative binomial regression models (NBRM) to predict the average number of children ever ...
McKibben, Sherry L.   +1 more
core   +2 more sources

BayesX: Analysing Bayesian structured additive regression models [PDF]

open access: yes, 2003
There has been much recent interest in Bayesian inference for generalized additive and related models. The increasing popularity of Bayesian methods for these and other model classes is mainly caused by the introduction of Markov chain Monte Carlo (MCMC)
Brezger, Andreas   +2 more
core   +2 more sources

Ethical Problems for the Law Firm of a Former Government Attorney: Firm or Individual Disqualification? [PDF]

open access: yes, 1977
In the area of pricing insurances, many statistical tools are used. The number of tools that exist are overwhelming and it is dicult to know which one to choose.
Bullock, James F.
core   +2 more sources

Make-or-Buy Decisions in Patent Related Services [PDF]

open access: yes, 2006
Among the most prominent theoretical frameworks dealing with the economic underlyings of firms’ make-or-buy decisions are Transaction Cost Economics (TCE) and the Resourced Based View (RBV).
Wagner, Stefan
core   +4 more sources

A Dynamical and Zero-Inflated Negative Binomial Regression Modelling of Malaria Incidence in Limpopo Province, South Africa. [PDF]

open access: yesInt J Environ Res Public Health, 2019
Recent studies have considered the connections between malaria incidence and climate variables using mathematical and statistical models. Some of the statistical models focused on time series approach based on Box–Jenkins methodology or on dynamic model.
Abiodun GJ   +6 more
europepmc   +2 more sources

ZERO-INFLATED NEGATIVE BINOMIAL REGRESSION FOR DIFFERENTIAL ABUNDANCE TESTING IN MICROBIOME STUDIES

open access: yesJournal of Bioinformatics and Genomics, 2016
Motivation: The human microbiome plays an important role in human health and disease. The composition of the human microbiome is influenced by multiple factors and understanding these factors is critical to elucidate the role of the microbiome in health ...
Xinyan Zhang, Himel Mallick, Nengjun Yi
doaj   +1 more source

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