Results 1 to 10 of about 41,488 (167)
A Poisson-Gamma Model for Zero Inflated Rainfall Data [PDF]
Journal of Probability and Statistics, 2018 Rainfall modeling is significant for prediction and forecasting purposes in agriculture, weather derivatives, hydrology, and risk and disaster preparedness.
Nelson Christopher Dzupire +2 more
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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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Compositional zero-inflated network estimation for microbiome data [PDF]
BMC Bioinformatics, 2020 Background The estimation of microbial networks can provide important insight into the ecological relationships among the organisms that comprise the microbiome.
Min Jin Ha +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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A comparison of zero-inflated and hurdle models for modeling zero-inflated count data [PDF]
Journal of Statistical Distributions and Applications, 2021 AbstractCounts data with excessive zeros are frequently encountered in practice. For example, the number of health services visits often includes many zeros representing the patients with no utilization during a follow-up time. A common feature of this type of data is that the count measure tends to have excessive zero beyond a common count ...
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EM Estimation for Zero- and k-Inflated Poisson Regression Model
Computation, 2021 Count data with excessive zeros are ubiquitous in healthcare, medical, and scientific studies. There are numerous articles that show how to fit Poisson and other models which account for the excessive zeros. However, in many situations, besides zero, the
Monika Arora, N. Rao Chaganty
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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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A Zero‐Inflated Regression Model for Grouped Data [PDF]
Oxford Bulletin of Economics and Statistics, 2014 AbstractWe introduce the (panel) zero‐inflated interval regression (ZIIR) model, which is ideally suited when data are in the form of groups, and there is an ‘excess’ of zero observations. We apply our new modelling framework to the analysis of visits to the general practitioner (GP) using individual‐level data from the British Household Panel Survey ...
Brown, S. +4 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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