Results 1 to 10 of about 292,203 (329)

Locally kernel weighted maximum likelihood estimator for local linear multi-predictor poisson regression [PDF]

MethodsX
We introduce a new multi-predictor regression model based on the Poisson distribution using a local linear approach called the local linear multi-predictor Poisson regression.
Darnah, Memi Nor Hayati, Sri Wahyuningsih, Iriyani Kamaruddin, Suyitno, Andrea Tri Rian Dani, Rito Goejantoro, Desi Yuniarti, Fidia Deny Tisna Amijaya, Ika Purnamasari, Meiliyani Siringoringo, Surya Prangga, Ratna Kusuma, Rahmawati Munir   +13 more
doaj   +3 more sources

Bivariate Poisson and Diagonal Inflated Bivariate Poisson Regression Models in R [PDF]

Journal of Statistical Software, 2005
In this paper we present an R package called bivpois for maximum likelihood estimation of the parameters of bivariate and diagonal inflated bivariate Poisson regression models. An Expectation-Maximization (EM) algorithm is implemented.
Ioannis Ntzoufras, Dimitris Karlis
doaj   +4 more sources

OVERDISPERSION HANDLING IN POISSON REGRESSION MODEL BY APPLYING NEGATIVE BINOMIAL REGRESSION

Barekeng, 2023
Statistical analysis that can be used if the response variable is quantified data is Poisson regression, assuming that the assumption must be met equidispersion, where the average response variable is the same as the standard deviation value.
Yesan Tiara, Muhammad Nur Aidi, Erfiani Erfiani, Rika Rachmawati   +3 more
doaj   +3 more sources

Poisson Regression [PDF]

Southwest Respiratory and Critical Care Chronicles, 2015
Shengping Yang, Gilbert Berdine
doaj   +7 more sources

Perbandingan Regresi Binomial Negatif dan Regresi Conway-Maxwell-Poisson dalam Mengatasi Overdispersi pada Regresi Poisson [PDF]

Jurnal Gantang, 2017
Regresi Binomial Negatif dan regresi Conway-Maxwell-Poisson merupakan solusi untuk mengatasi overdispersi pada regresi Poisson. Kedua model tersebut merupakan perluasan dari model regresi Poisson.
Lusi Eka Afri
doaj   +5 more sources

Comparison of univariate and bivariate Poisson regression methods in the analysis of determinants of female schooling and fertility in Malawi [PDF]

BMC Public Health
Recent research has established existence of a correlation between women’s education and fertility, suggesting that they share similar risk factors. However, in many studies, the two variables were analysed separately, which could bias the conclusions by
Eneles Mponda, Tsirizani Mwalimu Kaombe
doaj   +2 more sources

A Poisson Ridge Regression Estimator [PDF]

Economic Modelling, 2011
The standard statistical method for analyzing count data is the Poisson regression model, which is usually estimated using maximum likelihood (ML). The ML method is very sensitive to multicollinearity. Therefore, we present a new Poisson ridge regression
Månsson, Kristofer, Shukur, Ghazi
core   +3 more sources

RELATED FACTORS ON HOSPITALIZATION OF NURSING HOME RESIDENTS IN KOREA USING QUASI-POISSON REGRESSION [PDF]

Innov Aging, 2023
Juh Hyun Shin, Sun Ok Jung, Eun Jeong Min, Jung Eun Kim   +3 more
europepmc   +3 more sources

Poisson regression model with change points [PDF]

Journal of Applied Research on Industrial Engineering, 2021
There are many different fields the change point analysis arises. In those cases, the main problem is locating the unknown change points. The aim of this study is to detect location and time of change point in Poisson regression model.
Reza Habibi
doaj   +1 more source

Beyond averages: dissecting urban-rural disparities in skilled antenatal care utilization in Bangladesh - a conway-maxwell-poisson regression analysis. [PDF]

BMC Pregnancy Childbirth
Akib MMH, Afroz F, Pal B.
europepmc   +2 more sources