Results 21 to 30 of about 3,733,122 (330)

A new estimator for the multicollinear Poisson regression model: simulation and application

Scientific Reports, 2021
The maximum likelihood estimator (MLE) suffers from the instability problem in the presence of multicollinearity for a Poisson regression model (PRM).
A. Lukman, E. Adewuyi, K. Månsson, B. M. G. Kibria   +3 more
semanticscholar   +1 more source

Modified ridge-type for the Poisson regression model: simulation and application

Journal of Applied Statistics, 2021
The Poisson regression model (PRM) is employed in modelling the relationship between a count variable (y) and one or more explanatory variables. The parameters of PRM are popularly estimated using the Poisson maximum likelihood estimator (PMLE). There is
A. Lukman, Benedicta B Aladeitan, K. Ayinde, M. R. Abonazel   +3 more
semanticscholar   +1 more source

NEGATIVE BINOMIAL REGRESSION AND GENERALIZED POISSON REGRESSION MODELS ON THE NUMBER OF TRAFFIC ACCIDENTS IN CENTRAL JAVA

Barekeng, 2022
Traffic accidents that always increase along with the increasing population growth and the number of vehicles impact the national economy. The number of traffic accidents is a count data that a Poisson distribution can approximate. The Poisson regression
M Al Haris, Prizka Rismawati Arum
doaj   +1 more source

Estimation of safety performance functions for urban intersections using various functional forms of the negative binomial regression model and a generalized Poisson regression model.

Accident Analysis and Prevention, 2021
Intersections are established dangerous entities of a highway system due to the challenging and unsafe roadway environment they are characterized for drivers and other road users.
Muhammad Wisal Khattak, A. Pirdavani, P. De Winne, T. Brijs, H. De Backer   +4 more
semanticscholar   +1 more source

Spatial analysis of G.f.fuscipes abundance in Uganda using Poisson and Zero-Inflated Poisson regression models

PLoS Neglected Tropical Diseases, 2021
Background Tsetse flies are the major vectors of human trypanosomiasis of the form Trypanosoma brucei rhodesiense and T.b.gambiense. They are widely spread across the sub-Saharan Africa and rendering a lot of challenges to both human and animal health ...
Albert Mugenyi, Dennis Muhanguzi, Guy Hendrickx, Gaëlle Nicolas, Charles Waiswa, Steve Torr, Susan Christina Welburn, Peter M. Atkinson   +7 more
doaj   +3 more sources

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, Ika Nurwanitantya Wardani, Khusnia Nurul Khikmah   +2 more
doaj   +1 more source

Driving Risk Assessment Using Near-Miss Events Based on Panel Poisson Regression and Panel Negative Binomial Regression

Entropy, 2021
This study proposes a method for identifying and evaluating driving risk as a first step towards calculating premiums in the newly emerging context of usage-based insurance.
Shuai Sun, Jun Bi, Montserrat Guillén, A. M. Pérez-Marín   +3 more
semanticscholar   +1 more source

Sparse Poisson regression via mixed-integer optimization.

PLoS ONE, 2021
We present a mixed-integer optimization (MIO) approach to sparse Poisson regression. The MIO approach to sparse linear regression was first proposed in the 1970s, but has recently received renewed attention due to advances in optimization algorithms and ...
Hiroki Saishu, Kota Kudo, Yuichi Takano
doaj   +1 more source

Bayesian Hurdle Poisson Regression for Assumption Violation

Cauchy: Jurnal Matematika Murni dan Aplikasi, 2022
Violation of the Poisson regression assumption can cause the model formed will produce an unbiased estimator. There is a good method for estimating parameters on small sample sizes and on all distributions, namely the Bayesian method. The number of death
Nur Kamilah Sa'diyah, Ani Budi Astuti, Maria Bernadetha T. Mitakda   +2 more
doaj   +1 more source

Modified Kibria-Lukman (MKL) estimator for the Poisson Regression Model: application and simulation

F1000Research, 2021
Background: Multicollinearity greatly affects the Maximum Likelihood Estimator (MLE) efficiency in both the linear regression model and the generalized linear model. Alternative estimators to the MLE include the ridge estimator, the Liu estimator and the
Benedicta B Aladeitan, O. Adebimpe, A. Lukman, O. Oludoun, O. Abiodun   +4 more
semanticscholar   +1 more source