Improved estimation in negative binomial regression
Sign Up to like & getrecommendations! Published in 2022 at "Statistics in Medicine"
DOI: 10.1002/sim.9361
Abstract: 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… read more here.
Keywords: bias; maximum likelihood; negative binomial; estimation ... See more keywords
A seasonal geometric INAR process based on negative binomial thinning operator
Sign Up to like & getrecommendations! Published in 2018 at "Statistical Papers"
DOI: 10.1007/s00362-018-1060-7
Abstract: In this article, we propose a new seasonal geometric integer-valued autoregressive process based on the negative binomial thinning operator with seasonal period s. Some basic probabilistic and statistical properties of the model are discussed. Conditional… read more here.
Keywords: binomial thinning; process based; negative binomial; thinning operator ... See more keywords
Quantum Fisher Information and Tomographic Entropy of a Single Qubit in Excited Binomial and Negative Binomial Distributions
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Russian Laser Research"
DOI: 10.1007/s10946-019-09806-3
Abstract: We model the interaction between a qubit and optical radiation field (ORF) using an excited binomial distribution (EBD) and excited negative binomial distribution (ENBD). The explicit form of the density matrix of the qubit–ORF system… read more here.
Keywords: quantum fisher; excited binomial; fisher information; tomographic entropy ... See more keywords
Objective Bayesian model choice for non-nested families: the case of the Poisson and the negative binomial
Sign Up to like & getrecommendations! Published in 2020 at "TEST"
DOI: 10.1007/s11749-020-00717-z
Abstract: Selecting a statistical model from a set of competing models is a central issue in the scientific task, and the Bayesian approach to model selection is based on the posterior model distribution, a quantification of… read more here.
Keywords: bayesian model; poisson negative; poisson; model ... See more keywords
Developing a Random Parameters Negative Binomial-Lindley Model to analyze highly over-dispersed crash count data
Sign Up to like & getrecommendations! Published in 2018 at "Analytic Methods in Accident Research"
DOI: 10.1016/j.amar.2018.04.002
Abstract: Abstract The existence of preponderant zero crash sites and/or sites with large crash counts can present challenges during the statistical analysis of crash count data. Additionally, unobserved heterogeneity in crash data due to the absence… read more here.
Keywords: crash; model; negative binomial; count data ... See more keywords
Negative Binomial regression model for analysis of the relationship between hospitalization and air pollution
Sign Up to like & getrecommendations! Published in 2017 at "Atmospheric Pollution Research"
DOI: 10.1016/j.apr.2017.10.010
Abstract: Abstract Air pollution is currently one of the major environmental risk to human health in the world. Several studies link health to air pollution through the Poisson regression model. However, this study showed that the… read more here.
Keywords: pollution; regression model; air; air pollution ... See more keywords
Combining zero-inflated negative binomial regression with MLRT techniques: An approach to evaluating shipping accident casualties
Sign Up to like & getrecommendations! Published in 2018 at "Ocean Engineering"
DOI: 10.1016/j.oceaneng.2018.08.011
Abstract: Abstract This study aims to develop a maximum likelihood regression tree-based (MLRT) ZINB (zero-inflated negative binomial) model to predict shipping accident mortality, and also to examine the factors which affect the loss of human life… read more here.
Keywords: regression; zero inflated; shipping accident; negative binomial ... See more keywords
Crash prediction based on random effect negative binomial model considering data heterogeneity
Sign Up to like & getrecommendations! Published in 2020 at "Physica A: Statistical Mechanics and its Applications"
DOI: 10.1016/j.physa.2019.123858
Abstract: Abstract In order to improve traffic safety, a large amount of works focusing on crash prediction and identifying factors contributing to crashes. However, the ignorance of data unobserved heterogeneity in some traditional models may lead… read more here.
Keywords: binomial model; model; crash prediction; negative binomial ... See more keywords
Statistical models for helminth faecal egg counts in sheep and goats
Sign Up to like & getrecommendations! Published in 2019 at "Small Ruminant Research"
DOI: 10.1016/j.smallrumres.2018.11.006
Abstract: Abstract To address the problem of prevalence of gastrointestinal parasite infections faced by rural livestock farmers in the Free State Province of South Africa, we model the distribution of faecal egg counts of parasitic helminths… read more here.
Keywords: zero inflated; sheep goats; negative binomial; egg ... See more keywords
Patterns of West Nile Virus in the Northeastern United States Using Negative Binomial and Mechanistic Trait‐Based Models
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DOI: 10.1029/2022gh000747
Abstract: West Nile virus (WNV) primarily infects birds and mosquitoes but has also caused over 2,000 human deaths, and >50,000 reported human cases in the United States. Expected numbers of WNV neuroinvasive cases for the present… read more here.
Keywords: states using; nile virus; west nile; negative binomial ... See more keywords
A negative binomial regression model for risk estimation of 0–2 axillary lymph node metastases in breast cancer patients
Sign Up to like & getrecommendations! Published in 2020 at "Scientific Reports"
DOI: 10.1038/s41598-020-79016-4
Abstract: Extensive clinical trials indicate that patients with negative sentinel lymph node biopsy do not need axillary lymph node dissection (ALND). However, the ACOSOG Z0011 trial indicates that patients with clinically negative axillary lymph nodes (ALNs)… read more here.
Keywords: binomial regression; lymph; model; axillary lymph ... See more keywords