Results 1 to 10 of about 6,437,555 (338)

Identification of Fertility Preference Determinants Using Poisson Regression

مجله اپیدمیولوژی ایران, 2017
Background and Objectives: Changes in ideals and aspirations of childbearing are important factors in fertility behavior. Nowadays, fertility rate reduction below the replacement level and decreased childbearing ideals are the most common fertility ...
A Bagheri, HB Razeghi Nasrabad, M Saadati   +2 more
doaj  

Application of negative binomial regression in analyzing factors that influence stunting in toddlers

Desimal
Stunting is a growth and development disorder caused by a lack of nutrition. This research aims to determine the significant factors that influence cases of stunting among toddlers in North Sumatra province in 2022. By using Negative Binomial Regression,
Allifiyani Tamimi, Ismail Husein
doaj   +1 more source

Poisson regression for linguists: A tutorial introduction to modelling count data with brms

Language and Linguistics Compass, 2021
B. Winter, Paul-Christian Bürkner
semanticscholar   +1 more source

Count Data in Medical Research: Poisson Regression and Negative Binomial Regression.

Anesthesia and Analgesia, 2021
P. Schober, T. Vetter
semanticscholar   +1 more source

Predicting Football Match Results Using a Poisson Regression Model

Applied Sciences
Currently, several techniques based on probabilities and statistics, along with the rapid advancements in computational power, have deepened our understanding of a football match result, giving us the capability to estimate future matches’ results based ...
Konstantinos Loukas, Dimitrios Karapiperis, Georgios Feretzakis, Vassilios S. Verykios   +3 more
doaj   +1 more source

RAINFALL MODELING USING THE GEOGRAPHICALLY WEIGHTED POISSON REGRESSION METHOD

Barekeng
Rainfall is an important parameter in understanding the climate and environment in the Malang Regency area. This research aims to model the distribution of rainfall in this region using the Geographically Weighted Poisson Regression (GWPR) method.
Atiek Iriany, Wigbertus Ngabu, Danang Ariyanto   +2 more
doaj   +1 more source

Robust adaptive Kibria-Lukman estimator for COM-Poisson regression

Информатика. Экономика. Управление
The COM-Poisson regression model is a flexible model for count data that can be overdispersed and underdispersed. However, multicollinearity and contaminated observations can significantly increase estimation variability and reduce the reliability of ...
Ахмед Назих Аль-Хатиб
doaj   +1 more source

Bayesian Modeling of Traffic Accident Rates in Poland Based on Weather Conditions

Applied Sciences
Road traffic accidents pose a substantial global public health burden, resulting in significant fatalities and economic costs. This study employs Bayesian Poisson regression to model traffic accident rates in Poland, focusing on the intricate ...
Adam Filapek, Łukasz Faruga, Jerzy Baranowski   +2 more
doaj   +1 more source

Visual and Statistical Methods for Analysing Irregularity Data in Rolling Stocks – An Application on Turkey’s Freight Wagons Fleet

Promet (Zagreb)
Maintaining freight wagons is an essential operational process and a significant cost factor for rail transport companies. Analysing detected irregularities in the freight wagons offers distinctive and valuable insights for planned maintenance.
Ömür AKBAYIR, Serdar BENLİGİRAY, Ahmet ONAY   +2 more
doaj   +1 more source

Application of Generalized Poisson Regression Model in Feminine Fertility Data Analysis in Rural Areas of Fars Province

مجله اپیدمیولوژی ایران, 2010
Background & objectives: statistical modeling explicates the observed changes in data by means of mathematics equations. In cases that dependent variable is count, Poisson model is applied.
N Zare, M Sayadi, E Rezaeyan Fard, H Ghaem   +3 more
doaj