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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
Forests, 2019 Wildfire is a major disturbance that affects large area globally every year. Thus, a better prediction of the likelihood of wildfire occurrence is essential to develop appropriate fire prevention measures. We applied a global negative Binomial (NB) and a
Zhangwen Su +5 more
semanticscholar +1 more source
Associated factor of mortality rate amongst patients with AIDS and HIV-TB co-infections using zero inflated negative binomial method [PDF]
, 2014 Many data sets are characterized as count data with a preponderance of zeros. Data in the form of counts and proportions arise in many fields such as studies in medicine, public health, toxicology, epidemiology, sociology, psychology, engineering ...
Abdullah, Mohd Asrul Affendi
core
Elastic-net Regularized High-dimensional Negative Binomial Regression: Consistency and Weak Signals Detection [PDF]
, 2017 We study sparse negative binomial regression (NBR) for count data by showing non-asymptotic merits of the Elastic-net estimator. Two types of oracle inequalities are derived for the Elastic-net estimates of NBR by utilizing Compatibility Factor or Stabil
Huiming Zhang, Jinzhu Jia
semanticscholar +1 more source
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
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Scale-dependence of the Negative Binomial Pseudo-Maximum Likelihood Estimator [PDF]
Following Santos Silva and Tenreyro (2006), various studies have used the Poisson Pseudo-Maximum Likelihood to estimate gravity specifications of trade flows and non-count data models more generally.
Clément Bosquet, Hervé Boulhol
core
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
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Location Determinants of Food Manufacturing Investment: Are Non-metropolitan Counties Competitive? [PDF]
Food manufacturing site selection is determined by infrastructure, agglomeration, product and input markets, labor markets, and fiscal attributes of local communities.
Beeler, Megan I. +2 more
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Statistical Applications in Genetics and Molecular Biology, 2019 High throughput RNA sequencing (RNA-seq) technology is increasingly used in disease-related biomarker studies. A negative binomial distribution has become the popular choice for modeling read counts of genes in RNA-seq data due to over-dispersed read ...
Xiaohong Li +3 more
semanticscholar +1 more source