Results 81 to 90 of about 373,626 (232)

On the Conflation of Negative Binomial and Logarithmic Distributions

open access: yesAxioms
In recent decades, the study of discrete distributions has received increasing attention in the field of statistics, mainly because discrete distributions can model a wide range of count data.
Anfal A. Alqefari   +2 more
doaj   +1 more source

MODELING POVERTY IN WEST JAVA PROVINCE USING NEGATIVE BINOMIAL REGRESSION WITH PENALIZED SMOOTHLY CLIPPED ABSOLUTE DEVIATION

open access: yesBarekeng
The number of poor people is an example of discrete or count data. One commonly used regression model for count responses is the Negative Binomial regression.
Vera Maya Santi   +2 more
doaj   +1 more source

Negative Binomial Distribution [PDF]

open access: yes, 2020
Rajan Chattamvelli, Ramalingam Shanmugam
openaire   +2 more sources

Factors Associated with the Incidence of COVID-19 Infectious Disease in Muang Pattani District, Thailand

open access: yesJournal of Health Science and Medical Research (JHSMR)
Objective: This study aimed to investigate the COVID-19 incidence in Muang Pattani district; from April 2021 and September 2022, Specifically, the main objective was to study the varying distribution by demographic, area and period of COVID-19.
Lukman Dunthara   +2 more
doaj   +1 more source

Describing dynamical fluctuations and genuine correlations by Weibull regularity

open access: yes, 2017
The Weibull parametrization of the multiplicity distribution is used to describe the multidimensional local fluctuations and genuine multiparticle correlations measured by OPAL in the large statistics $e^{+}e^{-} \to Z^{0} \to hadrons$ sample.
Dash, Sadhana   +3 more
core  

Optimizing Corn Crop Protection: The First Sampling Plan for Controlling Dalbulus maidis (Hemiptera: Cicadellidae)

open access: yesPlants
Corn (Zea mays) is the most widely planted crop in the world. Dalbulus maidis (Hemiptera: Cicadellidae) is currently a primary corn pest. The starting point for the development of pest control decision-making systems is the determination of a ...
Cleovan Barbosa Pinto   +7 more
doaj   +1 more source

Mitigating multicollinearity in zero-inflated negative binomial regression using the modified Kibria-Lukman estimator

open access: yesAIMS Mathematics
Multicollinearity presents a significant challenge in zero-inflated negative binomial (ZINB) regression, leading to unstable maximum likelihood estimates (MLEs) and inflated prediction errors. To address this issue, we investigated the performance of the
Masad A. Alrasheedi   +3 more
doaj   +1 more source

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