Results 31 to 40 of about 31,545 (295)
Journal of Biostatistics and Epidemiology, 2021 Introduction: The need to model the impact of some demographic indicators on the frequency of household visits to healthcare centres in Nigeria's community is very important for preventing and spreading community diseases. This study aimed to investigate
Samuel Olorunfemi Adams +2 more
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Modeling underdispersed count data with generalized Poisson regression [PDF]
The Stata Journal: Promoting communications on statistics and Stata, 2012 We present motivation and new Stata commands for modeling count data. While the focus of this article is on modeling data with underdispersion, the new command for fitting generalized Poisson regression models is also suitable as an alternative to negative binomial regression for overdispersed data.
Harris, Tammy +5 more
openaire +2 more sources
On the Generalized Poisson Regression Model with an Application to Accident Data [PDF]
Journal of Data Science, 2021 In this paper a random sample of drivers aged sixty-five years or older was selected from the Alabama Department of Public Safety Records. The data in the sample has information on many variables including the number of accidents, demographic information, driving habits, and medication. The purpose of the sample was to assess the effects of demographic
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Finite Mixtures of Generalized Linear Regression Models [PDF]
, 2007 Generalized linear models have become a standard technique in the statistical modelling toolbox for investigating relationships between variables.
Bettina Grün +3 more
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PENANGANAN OVERDISPERSI PADA MODEL REGRESI POISSON MENGGUNAKAN MODEL REGRESI BINOMIAL NEGATIF
Media Statistika, 2011 Poisson regression is the most popular tool for modeling the relationship between a discrete data in the response variable and a set of predictors with continue, discrete, categoric or mix data.
Rio Tongaril Simarmata, Dwi Ispriyanti
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Covid-19 Data Analysis in Tarakan with Poisson Regression and Spatial Poisson Process
Cauchy: Jurnal Matematika Murni dan Aplikasi, 2023 COVID-19 entered Indonesia in March 2020 and included North Kalimantan Province, Tarakan. COVID-19 cases have outspread in Tarakan. The cause of the outspread and the patterns were not known yet. One relevant approach was to use Generalized Linear Models.
A'yunin Sofro +2 more
doaj +1 more source
A generalized right truncated bivariate Poisson regression model with applications to health data. [PDF]
PLoS ONE, 2017 A generalized right truncated bivariate Poisson regression model is proposed in this paper. Estimation and tests for goodness of fit and over or under dispersion are illustrated for both untruncated and right truncated bivariate Poisson regression models
M Ataharul Islam, Rafiqul I Chowdhury
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JFMR-Journal of Fisheries and Marine Research, 2021 Fitoplankton adalah organisme akuatik yang memegang peranan penting di ekosistem perairan karena merupakan produsen utama dalam ratai makanan. Pertumbuhan fitoplankton sangat tergantung dari ketersediaan nutrient (nitrat dan fosfat) yang ada di perairan.
Evellin Dewi Lusiana +3 more
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Generalized Poisson Regression: An Alternative for Risk Classification
Jurnal Teknologi, 2012 Semenjak beberapa tahun yang lepas, model regresi Poisson telah diguna secara meluas untuk pengkelasan risiko. Narnun, model regresi Poisson mengandaikan bahawa min dan varians pemboleh ubah bersandar adalah sama, sedangkan secara praktis, masalah lebih–serakan mungkin wujud di dalam data, yakni, situasi di mana varians adalah lebih besar ...
Noriszura Ismail, Abdul Aziz Jemain
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, 2023 Performance comparison between Generalized Linear Models using Poisson regression and Geographically Weighted Poisson Regression.
Wuelton Marcelo Monteiro (7214012) +23 more
core +1 more source