Results 1 to 10 of about 46,519 (215)
Zero to k Inflated Poisson Regression Models with Applications
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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Zero-Inflated Text Data Analysis using Generative Adversarial Networks and Statistical Modeling
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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Zero-inflated models for the evaluation of colorectal polyps in colon cancer screening studies—a value-based biostatistics practice [PDF]
Background Colon cancer screening studies are needed for the early detection of colorectal polyps to reduce the risk of colorectal cancer. Unfortunately, the data generated on colon polyps are typically analyzed in their dichotomized form and sometimes ...
Alok K. Dwivedi +3 more
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Zero inflated high dimensional compositional data with DeepInsight. [PDF]
Through the Human Microbiome Project, research on human-associated microbiomes has been conducted in various fields. New sequencing techniques such as Next Generation Sequencing (NGS) and High-Throughput Sequencing (HTS) have enabled the inclusion of a ...
Jeseok Lee, Byungwon Kim
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Regression models for count data with excess zeros: A comparison using survey data [PDF]
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
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
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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Justification for considering zero-inflated models in crash frequency analysis
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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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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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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