Results 51 to 60 of about 540,910 (340)

Quantifying overdispersion effects in count regression data [PDF]

open access: yes, 2002
The Poisson regression model is often used as a first model for count data with covariates. Since this model is a GLM with canonical link, regression parameters can be easily fitted using standard software.
Czado, Claudia, Sikora, I.
core   +1 more source

Count data regression modeling: an application to spontaneous abortion

open access: yesReproductive Health, 2020
Background In India, around 20,000 women die every year due to abortion-related complications. In count data modeling, there is sometimes a prevalence of zero counts.
Prashant Verma   +3 more
doaj   +1 more source

Visualizing Count Data Regressions Using Rootograms [PDF]

open access: yes, 2014
The rootogram is a graphical tool associated with the work of J. W. Tukey that was originally used for assessing goodness of fit of univariate distributions.
Kleiber, Christian, Zeileis, Achim
core   +3 more sources

Negative Binomial Kumaraswamy-G Cure Rate Regression Model [PDF]

open access: yesJournal of Risk and Financial Management, 2018
In survival analysis, the presence of elements not susceptible to the event of interest is very common. These elements lead to what is called a fraction cure, cure rate, or even long-term survivors. In this paper, we propose a unified approach using the negative binomial distribution for modeling cure rates under the Kumaraswamy family of distributions.
Amanda D’Andrea   +3 more
openaire   +2 more sources

PENANGANAN OVERDISPERSI PADA MODEL REGRESI POISSON MENGGUNAKAN MODEL REGRESI BINOMIAL NEGATIF

open access: yesMedia Statistika, 2011
Poisson regression is the most popular tool for modeling the relationship between a discrete data in the response variable and a set of predictors with continue, discrete, categoric or mix data.
Rio Tongaril Simarmata, Dwi Ispriyanti
doaj   +1 more source

Overdisp: A Stata (and Mata) Package for Direct Detection of Overdispersion in Poisson and Negative Binomial Regression Models

open access: yes, 2020
Stata has several procedures that can be used in analyzing count-data regression models and, more specifically, in studying the behavior of the dependent variable, conditional on explanatory variables.
Luiz Paulo Fávero   +3 more
semanticscholar   +1 more source

Re-sampling Techniques in Count Data Regression Models [PDF]

open access: yesالمجلة العراقية للعلوم الاحصائية, 2012
Modeling count variables is a common task in many application areas such as economics, social sciences, and medicine. The classical Poisson regression model for count data is often used and it is limited in these disciplines since count data sets ...
Zakariya Y. Algamal
doaj   +1 more source

Factors Affecting The Use Of WTO Fiscal Protection Instruments

open access: yesInternational Journal of Public Finance, 2021
Many countries, especially developed countries, have been trying to liberalize international trade for many years. Although it is intended to liberalize international trade, countries do not hesitate to use protection policy instruments. Within the means
Göksel Karaş
doaj   +1 more source

The Overlooked Potential of Generalized Linear Models in Astronomy-III: Bayesian Negative Binomial Regression and Globular Cluster Populations [PDF]

open access: yes, 2015
In this paper, the third in a series illustrating the power of generalized linear models (GLMs) for the astronomical community, we elucidate the potential of the class of GLMs which handles count data.
Buelens, B.   +7 more
core   +2 more sources

Random-Parameter Multivariate Negative Binomial Regression for Modeling Impacts of Contributing Factors on the Crash Frequency by Crash Types

open access: yesDiscrete Dynamics in Nature and Society, 2020
Highways provide the basis for safe and efficient driving. Road geometry plays a critical role in dynamic driving systems. Contributing factors such as plane, longitudinal alignment, and traffic volume, as well as drivers’ sight characteristics ...
Chenzhu Wang   +6 more
semanticscholar   +1 more source

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