Results 31 to 40 of about 293,429 (189)
Modelling fertility levels in Nigeria using Generalized Poisson regression-based approach
Scientific African, 2020 The rapid increase in total children ever born without a proportionate growth in the Nigerian economy has been a major concern. The total children ever born, being a count data, requires applying an appropriate regression model.
Jecinta U. Ibeji +3 more
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POISSON REGRESSION MODELS TO ANALYZE FACTORS THAT INFLUENCE THE NUMBER OF TUBERCULOSIS CASES IN JAVA
Barekeng, 2023 Tuberculosis is an infectious disease and one of the world's top 10 highest causes of mortality in Indonesia. Based on this fact, it is necessary to study what factors affect number of tuberculosis cases.
Yekti Widyaningsih +1 more
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Mean-parametrized Conway-Maxwell-Poisson regression models for dispersed counts
, 2017 Conway-Maxwell-Poisson (CMP) distributions are flexible generalizations of the Poisson distribution for modelling overdispersed or underdispersed counts.
Huang, Alan
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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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POISSON REGRESSION MODELING GENERALIZED IN MATERNAL MORTALITY CASES IN ACEH TAMIANG REGENCY
Barekeng, 2023 Maternal Mortality Rate (MMR) is the number of maternal deaths due to the process of pregnancy, childbirth, and postpartum which is used as an indicator of women's health degrees.
Riska Novita Sari +2 more
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A flexible regression model for count data
, 2010 Poisson regression is a popular tool for modeling count data and is applied in a vast array of applications from the social to the physical sciences and beyond.
Sellers, Kimberly F., Shmueli, Galit
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PENERAPAN REGRESI BINOMIAL NEGATIF UNTUK MENGATASI OVERDISPERSI PADA REGRESI POISSON
E-Jurnal Matematika, 2013 Poisson regression was used to analyze the count data which Poisson distributed. Poisson regression analysis requires state equidispersion, in which the mean value of the response variable is equal to the value of the variance.
PUTU SUSAN PRADAWATI +2 more
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Russian Journal of Agricultural and Socio-Economic Sciences, 2021 This paper introduces Bayesian analysis and demonstrates its application to parameter estimation of the Poisson regression via Markov Chain Monte Carlo (MCMC) algorithm using roommate conflict data.
Acquah J. De-Graft
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Multiple Approaches to Absenteeism Analysis [PDF]
, 1996 Absenteeism research has often been criticized for using inappropriate analysis. Characteristics of absence data, notably that it is usually truncated and skewed, violate assumptions of OLS regression; however, OLS and correlation analysis remain the ...
Sturman, Michael C.
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Compound Poisson Processes, Latent Shrinkage Priors and Bayesian Nonconvex Penalization
, 2015 In this paper we discuss Bayesian nonconvex penalization for sparse learning problems. We explore a nonparametric formulation for latent shrinkage parameters using subordinators which are one-dimensional L\'{e}vy processes. We particularly study a family
Li, Jin, Zhang, Zhihua
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