Results 41 to 50 of about 79,690 (134)
Accurate inference in negative binomial regression
, 2020 Negative binomial regression is commonly employed to analyze overdispersed count data. With small to moderate sample sizes, the maximum likelihood estimator of the dispersion parameter may be subject to a significant bias, that in turn affects inference on mean parameters.
Pagui, Euloge Clovis Kenne +2 more
openaire +2 more sources
7. Fixed-Effects Negative Binomial Regression Models [PDF]
Sociological Methodology, 2002 This paper demonstrates that the conditional negative binomial model for panel data, proposed by Hausman, Hall, and Griliches (1984), is not a true fixed-effects method. This method—which has been implemented in both Stata and LIMDEP—does not in fact control for all stable covariates. Three alternative methods are explored.
Paul D. Allison, Richard P. Waterman
openaire +1 more source
Linear mean-variance negative binomial models for analysis of orange tissue-culture data [PDF]
Songklanakarin Journal of Science and Technology (SJST), 2004 Negative binomial maximum likelihood regression models are commonly used to analyze overdispersed Poisson data. There are various forms of the negative binomial model with different mean-variance relationships, however, the most generally used are those ...
Naratip Jansakul, John P. Hinde
doaj
BarekengThe number of poor people is an example of discrete or count data. One commonly used regression model for count responses is the Negative Binomial regression.
Vera Maya Santi +2 more
doaj +1 more source
ANALISIS FAKTOR PENYEBAB PENYAKIT TBC DI JAWA BARAT MENGGUNAKAN REGRESI BINOMIAL NEGATIF
Jurnal LebesgueThe realization of "Indonesia Emas 2045" is significantly determined by the current Golden Generation. It is expected that this generation possesses high competence, quality, and innovation.
Humaira Zeanova +3 more
doaj +1 more source
Factors Affecting Crash Frequencies: A Negative Binomial Regression Based Analysis of Indus Highway, Pakistan [PDF]
MATEC Web of Conferences, 2019 The increase in vehicular traffic have also increased the highway crash frequency with the passage of time. Improvements in highway safety is of vital importance as it could save vast life and monetary losses.
Ullah Khan Rafi +2 more
doaj +1 more source
Negative binomial regression in dose-effect relationships
Ufa Mathematical Journal, 2022 Summary: This paper is devoted to problem on estimating the distribution function and its quantiles in the dose-effect relationships with nonparametric negative binomial regression. Most of the mathematical researches on dose-response relationships concerned models with binomial regression, in particular, models with binary data.
openaire +2 more sources
BarekengPoverty is one of the complex phenomena that occurs in Indonesia. Various socio-economic variables in Indonesia influence poverty, which we can mathematically model using the Generalized Linear Model (GLM) framework. In this study, we modeled data on the
Restu Arisanti +5 more
doaj +1 more source
Fast Bayesian Variable Selection in Binomial and Negative Binomial Regression
, 2021 18 pages; this work is superseded by arXiv:2208 ...
openaire +2 more sources
Jambura Journal of MathematicsThe Bivariate Zero-Inflated Negative Binomial (BZINBR) regression model is commonly used to analyze two correlated count response variables characterized by overdispersion and excess zeros.
Mawadah Putri Islamiati +2 more
doaj +1 more source