Results 91 to 100 of about 141,753 (193)

Determination of Pure Health Insurance Premiums Using Generalized Linear Models (GLM) with Poisson Distribution

open access: yesInternational Journal of Global Operations Research
Insurance companies need a method to help companies determine premium prices that are appropriate to the risks they face. In other words, it is also necessary to know the variables that influence premium prices using Generalized Linear Models (GLM) by generalizing the linear regression model to model the relationship between the dependent variable and ...
Devani Oktaviani   +2 more
openaire   +1 more source

Two-step paretial least square regression classifiers in brain-state decoding using functional magnetic resonance imaging.

open access: yesPLoS ONE, 2019
Multivariate analysis methods have been widely applied to decode brain states from functional magnetic resonance imaging (fMRI) data. Among various multivariate analysis methods, partial least squares regression (PLSR) is often used to select relevant ...
Zhiying Long   +3 more
doaj   +1 more source

Statistical Modeling of Epistasis and Linkage Decay using Logic Regression [PDF]

open access: yes, 2007
Logic regression has been recognized as a tool that can identify and model non-additive genetic interactions using Boolean logic groups. Logic regression, TASSEL-GLM and SAS-GLM were compared for analytical precision using a previously characterized ...
John A. Henning   +3 more
core   +1 more source

Exploring citizen participation in fiscal control: insights from Manizales, Colombia

open access: yesEuropean Journal of Government and Economics
The objective of this study is to identify the fundamental determinants of citizen participation within the framework of the "Let's Take Control" initiative, implemented by the General Comptroller's Office of Manizales Municipality during 2020-2021 ...
Carlos David Cardona-Arenas   +1 more
doaj   +1 more source

How do Generalized Linear Models (glms) Explain the Variation in Species Richness in Freshwater Ecosystems?

open access: yesRevista de Gestão Social e Ambiental
Objective: Assessing, through ecological modeling, which environmental variables explain the species richness of fish in streams in southern Maranhão.   Theoretical framework: Ecological modeling techniques that correlate species abundance or richness as response variables with environmental predictors are used to predict the probability of species ...
Thamires Barroso Lima   +5 more
openaire   +1 more source

Genome-wide association studies reveal novel QTLs for agronomic traits in soybean

open access: yesFrontiers in Plant Science
IntroductionSoybean, as a globally significant crop, has garnered substantial attention due to its agricultural importance. The utilization of molecular approaches to enhance grain yield in soybean has gained popularity.MethodsIn this study, we conducted
Dongwei Han   +11 more
doaj   +1 more source

Distribution Modeling of Protective and Valuable Plant Species in the Tourist Area of Polour Using Generalized Linear Model (GLM) and Generalized Additive Model(GAM)

open access: yesجغرافیا و توسعه, 2017
The prediction models of geographical distribution of the  plant species are probabilistic and static models. They determinate the mathematical equations governing on geographical distribution of species with their current environment and environmental factors effective on the distribution of species.
Zeinab Jafarian, Mansoureh Kargar
openaire   +1 more source

Estimation Model of Pure Health Insurance Premiums in Southeast America Using Generalized Linear Model (GLM) with Gamma Distribution

open access: yesInternational Journal of Mathematics, Statistics, and Computing
Health insurance premiums are on the rise due to increasing medical costs, inflation, and the lingering effects of the COVID-19 pandemic. Accurate premium pricing is crucial for insurance companies to maintain financial stability and offer fair rates to policyholders.
openaire   +2 more sources

A new generalized linear model (GLM) framework for analysing categorical data; application to plant structure and development.

open access: yes, 2013
Le but de cette thèse est de proposer une nouvelle classe de GLMs pour une variable réponse catégorielle structurée hiérarchiquement, comme une variable partiellement ordonnée par exemple. Une première étape a été de mettre en évidence les différences et les point communs entre les GLMs pour variables réponses nominale et ordinale.
openaire   +2 more sources

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