Results 21 to 30 of about 9,896 (146)

Modelling of tea mosquito bug (Helopeltis theivora) incidence on neem tree: A zero inflated count data analysis

open access: yesJournal of Agrometeorology, 2022
Neem (Azadirachta indica) is an evergreen tree belonging to the Meliaceae family and is highly infected by the seasonal pest called Helopeltis theivora, the tea mosquito bug.
S. VISHNU SHANKAR   +4 more
doaj   +1 more source

Justification for considering zero-inflated models in crash frequency analysis

open access: yesTransportation Research Interdisciplinary Perspectives, 2020
One common challenge of modeling intersection related crash data is the high proportion of sites with zero crashes. Extensive research has been done on appropriate methods to handle excess zeroes.
Timo Pew   +3 more
doaj   +1 more source

An empirical comparison of methods for analyzing over-dispersed zero-inflated count data from stratified cluster randomized trials

open access: yesContemporary Clinical Trials Communications, 2020
Background: The assessment of methods for analyzing over-dispersed zero inflated count outcome has received very little or no attention in stratified cluster randomized trials. In this study, we performed sensitivity analyses to empirically compare eight
Sayem Borhan   +5 more
doaj   +1 more source

Comparison of Test Statistic for Zero-Inflated Negative Binomial against Zero-Inflated Poisson Model

open access: yesIndian 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
openaire   +3 more sources

Bayesian negative binomial logit hurdle and zero-inflated model for characterizing smoking intensity

open access: yesJournal of Big Data, 2021
Smoking invariably has environmental, social, economic and health consequences in Ethiopia. Reducing and quitting cigarette smoking improves individual health and increases available household funds for education, food and better economic productivity ...
Mekuanint Simeneh Workie   +1 more
doaj   +1 more source

The zero inflated negative binomial – Crack distribution: some properties and parameter estimation [PDF]

open access: yesSongklanakarin Journal of Science and Technology (SJST), 2015
The zero inflated negative binomial-Crack (ZINB-CR) distribution is a mixture of Bernoulli distribution and negative binomial-Crack (NB-CR) distribution, which is an alternative distribution for the excessive zero counts and overdispersion.
Pornpop Saengthong   +2 more
doaj  

Multiple inflated negative binomial regression for correlated multivariate count data

open access: yesDependence Modeling, 2022
This article aims to provide a method of regression for multivariate multiple inflated count responses assuming the responses follow a negative binomial distribution.
Mathews Joseph   +3 more
doaj   +1 more source

Modeling Tetanus Neonatorum case using the regression of negative binomial and zero-inflated negative binomial

open access: yesJournal of Physics: Conference Series, 2017
Tetanus Neonatorum is an infectious disease that can be prevented by immunization. The number of Tetanus Neonatorum cases in East Java Province is the highest in Indonesia until 2015. Tetanus Neonatorum data contain over dispersion and big enough proportion of zero-inflation.
Luthfatul Amaliana   +2 more
openaire   +1 more source

Comparing Zero-inflated Poisson, Zero-inflated Negative Binomial and Zero-inflated Geometric in Count Data with Excess Zero

open access: yesAsian Journal of Probability and Statistics, 2019
Count data often violate the assumptions of a normal distribution due to the fact that they are bounded by their lowest value which is zero. The Poison distribution is sometimes suggested but when the assumption of equal mean and variance is violated due to over-dispersion and presence of zeros we tend to look in the direction of other models.
R. A. Ipinyomi, M. I. Adarabioyo
openaire   +2 more sources

Models for Overdispersion Count Data with Generalized Distribution: An Application to Parasites Intensity

open access: yesJournal of New Theory, 2021
The Poisson regression model is widely used for count data. This model assumes equidispersion. In practice, equidispersion is seldom reflected in data. However, in real-life data, the variance usually exceeds the mean.
Burcu Durmuş, Öznur İşçi Güneri
doaj   +1 more source

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