Results 31 to 40 of about 9,896 (146)
Journal of MathematicsIn this study, we propose a new zero-inflated regression model as an alternative to zero-inflated regression models, such as the zero-inflated Poisson, zero-inflated negative binomial, zero-inflated hurdle-Poisson, and zero-inflated hurdle negative ...
Caner Tanış +5 more
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MODELLING ZERO-INFLATED OVER DISPERSED DENGUE DATA VIA ZERO-INFLATED POISSON INVERSE GAUSSIAN REGRESSION MODEL: A CASE STUDY OF BANGLADESH [PDF]
Acta Scientifica MalaysiaBangladesh has been noted for experiencing some of the most susceptible dengue outbreaks in Asia; the country’s location, dense population, and changing environment all play major roles in this.
Sukanta Chakraborty +1 more
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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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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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Simulation Study of Zero Inflated Negative Binomial Regression
CAUCHY: Jurnal Matematika Murni dan AplikasiThis study aims at evaluating the performance of Zero Inflated Negative Binomial (ZINB) regression analysis using the Maximum Likelihood Estimation (MLE) approach through simulation study. The research data used are secondary data and simulations. Secondary data was obtained from the Ministry of Health of the Republic of Indonesia in 2023 regarding ...
Santi Wahyu Salsabila +2 more
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Negative Binomial Two-Parameter Lindley generalized linear model for modeling count data
Research in StatisticsZero-inflated data, characterized by excessive zero counts, is a common challenge in various fields, particularly in insurance data. In most cases, count data exhibits overdispersion and excess zeros; models that fail to account for these characteristics
Samwel Karanja Kamau +3 more
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Bayesian model selection reveals biological origins of zero inflation in single-cell transcriptomics
Genome Biology, 2020 Background Single-cell RNA sequencing is a powerful tool for characterizing cellular heterogeneity in gene expression. However, high variability and a large number of zero counts present challenges for analysis and interpretation.
Kwangbom Choi +3 more
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Jurnal Fourier, 2018 Sektor pariwisata memiliki peran penting dalam pembangunan ekonomi wilayah karena dianggap mampu meningkatkan penerimaan daerah, terciptanya lapangan kerja dan peluang usaha serta pembangunan infrastruktur.
Eko Yulian
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Using zero inflated models to analyze dental caries with many zeroes
Indian Journal of Dental Research, 2010 Aim: The study aimed to analyze and determine the factors associated with dental caries experience contains many zeros by zero inflated models. Design: A cross sectional design was employed using clinical examination and questionnaire with interview ...
Javali Shivalingappa, Pandit Parameshwar
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AppliedMathThis study proposes a transformed two-part bootstrap confidence interval (TTB-CI) for zero-inflated count data. The method combines a standard zero-inflated mixture formulation, parametric bootstrap, and monotone transformations to improve inference for ...
Sangsung Park, Sunghae Jun
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