Results 11 to 20 of about 293,870 (330)

Development of Bayesian segmented Poisson regression model to forecast COVID-19 dynamics based on wastewater data: a case study in Nanning City, China [PDF]

BMC Public Health
Bin Xu, Xinfu Shi, Chaolan Liang, Congxing Shi, Chenchen Peng, Ying‐Si Lai   +5 more
openalex   +2 more sources

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

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

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

A New Poisson Generalized Lindley Regression Model

Austrian Journal of Statistics, 2023
In this paper, a new count distribution is introduced. It is a mixture of the Poisson and generalized Lindley distributions. Statistical properties of the proposed distribution including the factorial moments, probability generating function, moment ...
Yupapin Atikankul
doaj   +1 more source

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   +1 more source

Bayesian regression of piecewise homogeneous Poisson processes [PDF]

Papers in Physics, 2015
In this paper, a Bayesian method for piecewise regression is adapted to handle counting processes data distributed as Poisson. A numerical code in Mathematica is developed and tested analyzing simulated data.
Diego Sevilla
doaj   +1 more source

Modelling children ever born using performance evaluation metrics: A dataset

Data in Brief, 2021
Predicting the number of total children ever born in a country is a key component for proper implementation of economic growth policy. Here, performance metrics were used to predict models that appropriately describe the factors that affect children ever
Jecinta U. Ibeji, Temesgen Zewotir, Delia North, Lateef Amusa   +3 more
doaj   +1 more source

PENERAPAN REGRESI GENERALIZED POISSON UNTUK MENGATASI FENOMENA OVERDISPERSI PADA KASUS REGRESI POISSON

E-Jurnal Matematika, 2013
The Poisson regression is generally used to analyze the response variable that is a discrete data. Poisson regression has assumption which must be met, that is condition equidispersion.
I PUTU YUDANTA EKA PUTRA, I PUTU EKA NILA KENCANA, I GUSTI AYU MADE SRINADI   +2 more
doaj   +1 more source