Results 51 to 60 of about 79,690 (134)

Robust Negative Binomial Regression via the Kibria–Lukman Strategy: Methodology and Application

Mathematics
Count regression models, particularly negative binomial regression (NBR), are widely used in various fields, including biometrics, ecology, and insurance.
Adewale F. Lukman, Olayan Albalawi, Mohammad Arashi, Jeza Allohibi, Abdulmajeed Atiah Alharbi, Rasha A. Farghali   +5 more
doaj   +1 more source

PENAKSIRAN PENJUALAN PRODUK BERDASARKAN PENDEKATAN MODEL REGRESI NEGATIF BINOMIAL

Prima: Jurnal Pendidikan Matematika, 2019
Abstrak Penelitian bertujuan untuk membandingkan hasil penaksiran parameter model regresi binomial negative dengan model Poisson untuk underreported counts pada penelitian sebelumnya.
Reny Rian Marliana
doaj   +1 more source

Negative Binomial Regression Model Estimation Using Stein Approach: Methods, Simulation, and Applications

Journal of Mathematics
The negative binomial regression model (NBRM) is popular for modeling count data and addressing overdispersion issues. Generally, the maximum likelihood estimator (MLE) is used to estimate the NBRM coefficients. However, when the explanatory variables in
Bushra Ashraf, Muhammad Amin, Walid Emam, Yusra Tashkandy, Muhammad Faisal   +4 more
doaj   +1 more source

Negative Binomial Regression Modeling to Analyze the Determinants of Infant Mortality in West Java Province

Berkala Sainstek
The Infant Mortality Rate (IMR) is an important indicator in assessing the quality of public health and the success of health programs in a region. Proper handling of factors that determine IMR is essential to reduce this number.
Firda Fadri, Ari Firmansyah, Victor Alesyus Erlanda   +2 more
doaj   +1 more source

Modeling Tetanus Neonatorum case using the regression of negative binomial and zero-inflated negative binomial

Journal of Physics: Conference Series, 2017
Tetanus Neonatorum is an infectious disease that can be prevented by immunization. The number of Tetanus Neonatorum cases in East Java Province is the highest in Indonesia until 2015. Tetanus Neonatorum data contain over dispersion and big enough proportion of zero-inflation.
Luthfatul Amaliana, Umu Sa’adah, Ni Wayan Surya Wardhani   +2 more
openaire   +1 more source

A Two-Stage Model for Factors Influencing Citation Counts

Publications
This work aims to use a suitable regression model to study a count response random variable, namely, the number of citations of a research paper, that is affected by some explanatory variables.
Pablo Dorta-González, Emilio Gómez-Déniz   +1 more
doaj   +1 more source

MODELING LONGITUDINAL FLOOD DATA IN WEST SUMATRA USING THE GENERALIZED ESTIMATING EQUATION (GEE) APPROACH

Barekeng
Flooding is one of the many natural disasters that often hit Indonesia. In July 2023, three areas in West Sumatra experienced floods and landslides which caused damages and even 2 missing victims.
Alfi Nur Nitasari, Andini Sa'idah, Nurin Faizun, Kezia Eunike Darmawan, Marfa Audilla Fitri, Nur Chamidah   +5 more
doaj   +1 more source

Relationship between socio-economic factors and tuberculosis using negative binomial and Poisson regression models

مجله دانشگاه علوم پزشکی گرگان, 2014
Background and Objective: Tuberculosis (TB) is the most important cause of death worldwide. The main reason for the increasing global burden of TB are severe poverty and class distinctions between rich and poor population groups in various communities ...
Sarvi F, Mehrabi Y, Abadi AR, Nasehi M, Payandeh A   +4 more
doaj  

Factors associated with scientific production citations in dentistry: Zero-inflated negative binomial regression and hurdle modelling. [PDF]

F1000Res, 2023
Millones-Gómez PA, Minchón-Medina CA, Rodríguez-Salazar DY, Delgado-Caramutti JGA, Valencia-Arias A.   +4 more
europepmc   +1 more source

Infants' gut microbiome data: A Bayesian Marginal Zero-inflated Negative Binomial regression model for multivariate analyses of count data. [PDF]

Comput Struct Biotechnol J, 2023
Hajihosseini M, Amini P, Saidi-Mehrabad A, Dinu I.   +3 more
europepmc   +1 more source