Results 1 to 10 of about 8,812 (115)
Robust inference in the multilevel zero-inflated negative binomial model. [PDF]
J Appl Stat, 2020 A popular way to model correlated count data with excess zeros and over-dispersion simultaneously is by means of the multilevel zero-inflated negative binomial (MZINB) distribution. Due to the complexity of the likelihood of these models, numerical methods such as the EM algorithm are used to estimate parameters.
Zandkarimi E +4 more
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Bayesian Zero-Inflated Negative Binomial Regression Based on Pólya-Gamma Mixtures. [PDF]
Bayesian Anal, 2019 Motivated by a study examining spatiotemporal patterns in inpatient hospitalizations, we propose an efficient Bayesian approach for fitting zero-inflated negative binomial models. To facilitate posterior sampling, we introduce a set of latent variables that are represented as scale mixtures of normals, where the precision terms follow independent Pólya-
Neelon B.
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Marginalized zero-inflated negative binomial regression with application to dental caries. [PDF]
Stat Med, 2016 The zero‐inflated negative binomial regression model (ZINB) is often employed in diverse fields such as dentistry, health care utilization, highway safety, and medicine to examine relationships between exposures of interest and overdispersed count outcomes exhibiting many zeros.
Preisser JS, Das K, Long DL, Divaris K.
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Early warning and predicting of COVID-19 using zero-inflated negative binomial regression model and negative binomial regression model. [PDF]
BMC Infect DisAbstract Background It is difficult to detect the outbreak of emergency infectious disease based on the exiting surveillance system. Here we investigate the utility of the Baidu Search Index (BSI) in the early warning and predicting the epidemic trend of COVID-19.
Zhou W +10 more
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Analyzing ingrowth using zero-inflated negative binomial models [PDF]
Silva Fennica, 2020 Ingrowth is an important element of stand dynamics in several silvicultural systems, especially in continuous cover forestry. Earlier predictive models for ingrowth in Finnish forests are few and not based on up-to-date statistical methods. Ingrowth is here defined as the number of trees over 1.3 m entering a plot.
Lappi Timo, Pukkala Timo
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Estimation Parameters And Modelling Zero Inflated Negative Binomial [PDF]
CAUCHY: Jurnal Matematika Murni dan Aplikasi, 2016 Regression analysis is used to determine relationship between one or several response variable (Y) with one or several predictor variables (X). Regression model between predictor variables and the Poisson distributed response variable is called Poisson Regression Model. Since, Poisson Regression requires an equality between mean and variance, it is not
Cindy Cahyaning Astuti +1 more
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Comparison of Test Statistic for Zero-Inflated Negative Binomial against Zero-Inflated Poisson Model
Indian Journal of Science and Technology, 2015 In this study, the existence of score test and alternative tests were studied for testing the overdispersion parameter after including covariates in ZINB against ZIP models. The power of the three tests for different degrees of overdispersion parameter and various sample sizes were also obtained through Monte Carlo simulation.
B. Muniswamy +2 more
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Improved shrinkage estimators in zero-inflated negative binomial regression model
Hacettepe Journal of Mathematics and Statistics, 2021 Zero-inflated negative binomial model is an appropriate choice to model count response variables with excessive zeros and over-dispersion simultaneously. This paper addressed parameter estimation in the zero-inflated negative binomial model when there are many parameters, so that some of them have not influence on the response variable. We proposed
Zahra ZANDİ +2 more
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Indonesian Journal of Statistics and Its Applications, 2019 Health is a very important thing for humanity. One way to look at a person's health condition is through the number of unhealthy days which can also shows the productivity of the community in a region. Modeling the number of unhealthy days which are examples of count data can be done using Poisson regression.
Kusni Rohani Rumahorbo +2 more
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<b>Modeling citrus huanglongbing data using a zero-inflated negative binomial distribution [PDF]
Acta Scientiarum. Agronomy, 2016 Zero-inflated data from field experiments can be problematic, as these data require the use of specific statistical models during the analysis process. This study utilized the zero-inflated negative binomial (ZINB) model with the log- and logistic-link functions to describe the incidence of plants with Huanglongbing (HLB, caused by Candidatus ...
Almeida, Eudmar Paiva de +5 more
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