Results 1 to 10 of about 42,459 (144)
Evaluation of negative binomial and zero-inflated negative binomial models for the analysis of zero-inflated count data: application to the telemedicine for children with medical complexity trial [PDF]
Trials, 2023 Background Two characteristics of commonly used outcomes in medical research are zero inflation and non-negative integers; examples include the number of hospital admissions or emergency department visits, where the majority of patients will have zero ...
Kyung Hyun Lee +4 more
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Regression models for count data with excess zeros: A comparison using survey data [PDF]
Tutorials in Quantitative Methods for Psychology, 2023 Presence of excess zeros and the distributions are major concern in modeling count data. Zero inflated and hurdle models are regression techniques which can handle zero inflated count data.
Bhaskar, Adhin +3 more
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Zero-inflated Modified Borel-Tanner Regression Model for Count Data
Austrian Journal of Statistics, 2022 By starting from the one-parameter Modified Borel-Tanner distribution proposed recently in the statistic literature, we introduce the zero-inflated Modified Borel-Tanner distribution. Additionally, on the basis of the proposed zero-inflated distribution,
Anwar Hassan +2 more
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Application of Mixture Models for Doubly Inflated Count Data
Analytics, 2023 In health and social science and other fields where count data analysis is important, zero-inflated models have been employed when the frequency of zero count is high (inflated).
Monika Arora, N. Rao Chaganty
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Zero to k Inflated Poisson Regression Models with Applications
Journal of Statistical Theory and Applications (JSTA), 2023 In the count data set, the frequency of some points may occur more than expected under the standard data analysis models. Indeed, in many situations, the frequencies of zero and of some other points tend to be higher than those of the Poisson.
Hadi Saboori, Mahdi Doostparast
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Justification for considering zero-inflated models in crash frequency analysis
Transportation 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
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Zero-Inflated Text Data Analysis using Generative Adversarial Networks and Statistical Modeling
Computers, 2023 In big data analysis, various zero-inflated problems are occurring. In particular, the problem of inflated zeros has a great influence on text big data analysis.
Sunghae Jun
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Journal of Advanced Engineering and Computation, 2020 This paper compares the performance of the gradient and Newton-Raphson (N-R) method to estimate parameters in some zero-inflated (ZI) regression models such as the zero-inflated Poisson (ZIP) model, zero-inflated Bell (ZIBell) model, zero-inflated ...
Kim-Hung Pho, Buu-Chau Truong
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Predicting cyanobacteria abundance with Bayesian zero-inflated models
Journal of Hydroinformatics, 2023 Cyanobacterial blooms are a persistent concern to water management and treatment, with blooms potentially causing the release of toxins and degrading water quality.
Yirao Zhang, Nicolas M. Peleato
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BMC Bioinformatics, 2021 Background For differential abundance analysis, zero-inflated generalized linear models, typically zero-inflated NB models, have been increasingly used to model microbiome and other sequencing count data.
Wei Bai +4 more
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