Results 31 to 40 of about 16,323,319 (157)

Joint generalized linear model analysis of hepatopancreatic markers: determinants of coronavirus disease 2019 severity and strategies for postrecovery care

Alexandria Journal of Medicine
Introduction Coronavirus disease 2019 (COVID-19)-related liver injury, often linked to disease severity, has an unclear impact on clinical progression.
Ishita Saha, Rabindra Nath Das, Oly Banerjee, Shampa Sarkar (Biswas), Sandip Mukherjee   +4 more
doaj   +1 more source

Multinomial logit bias reduction via Poisson log-linear model [PDF]

, 2010
It is shown how to obtain the bias-reducing penalized maximum likelihood estimator for the parameters of a multinomial logistic regression by using the equivalent Poisson log-linear model.
Firth, David, D. Firth, Firth, D., Kosmidis, Ioannis, Kosmidis, I., I. Kosmidis   +5 more
core   +1 more source

Rheology of Linear Viscoelastic Materials [PDF]

Warasan Witthayasat Lae Theknoloyi Mahawitthayalai Mahasarakham, 2020
This article shows the relationship between stress and strain of a generalized linear viscoelastic material. From a well-known Maxwell constitute equation, a model that contains a spring and a dashpot connected in series, a linear viscoelastic model is ...
Chanyut Kolitawong
doaj  

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

جغرافیا 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 ...
Zeinab Jafarian, Mansoureh Kargar
doaj   +1 more source

An EM Algorithm for Double-Pareto-Lognormal Generalized Linear Model Applied to Heavy-Tailed Insurance Claims

Risks, 2017
Generalized linear models might not be appropriate when the probability of extreme events is higher than that implied by the normal distribution. Extending the method for estimating the parameters of a double Pareto lognormal distribution (DPLN) in Reed ...
Enrique Calderín-Ojeda, Kevin Fergusson, Xueyuan Wu   +2 more
doaj   +1 more source

Non-linear Mixed Models in a Dose Response Modelling

InPrime, 2019
Study designs in which an outcome is measured more than once from time to time result in longitudinal data. Most of the methodological works have been done in the setting of linear and generalized linear models, where some amount of linearity is retained.
Madona Yunita Wijaya
doaj   +1 more source

Assessing Influence on Partially Varying-coefficient Generalized Linear Model

Revstat Statistical Journal
In this paper we discuss estimation and diagnostic procedures in partially varying-coefficient generalized linear models based in the penalized likelihood function.
Germán Ibacache-Pulgar , Valeria Lira, Cristian Villegas   +2 more
doaj   +1 more source

Investigating the impact of CO2 emissions on the COVID-19 pandemic by generalized linear mixed model approach with inverse Gaussian and gamma distributions

Open Chemistry, 2023
Carbon dioxide (CO2) rate within the atmosphere has been rising for decades due to human activities especially due to usage of fuel types such as coal, cement, flaring, gas, oil, etc.
İyit Neslihan, Sevim Ferhat, Kahraman Ümran Münire   +2 more
doaj   +1 more source

Improving the Efficiency of Robust Estimators for the Generalized Linear Model

Stats, 2021
The distance constrained maximum likelihood procedure (DCML) optimally combines a robust estimator with the maximum likelihood estimator with the purpose of improving its small sample efficiency while preserving a good robustness level.
Alfio Marazzi
doaj   +1 more source

Linear Models are Most Favorable among Generalized Linear Models [PDF]

2020 IEEE International Symposium on Information Theory (ISIT), 2020
To appear in the 2020 IEEE International Symposium on Information ...
Kuan-Yun Lee, Thomas A. Courtade
openaire   +2 more sources