Results 31 to 40 of about 628,110 (283)

A Generalized Linear Mixed Model for Data Breaches and Its Application in Cyber Insurance

open access: yesRisks, 2022
Data breach incidents result in severe financial loss and reputational damage, which raises the importance of using insurance to manage and mitigate cyber related risks.
Meng Sun, Yi Lu
doaj   +1 more source

Impact of urbanization on morbidity of hepatitis A: a national panel study in China during 2005–2018

open access: yesInfectious Diseases of Poverty, 2023
Background The effect of urbanization on the morbidity of hepatitis A remains unclear. We aimed to estimate the association between various urbanization-related indices and hepatitis A morbidity in China. Methods Data on the annual morbidity of hepatitis
Bo-Wen Ming   +6 more
doaj   +1 more source

A STUDY OF GENERALIZED LINEAR MIXED MODEL FOR COUNT DATA USING HIERARCHICAL BAYES METHOD

open access: yesMedia Statistika, 2022
Poisson Log-Normal Model is one of the hierarchical mixed models that can be used for count data. Several estimation methods can be used to estimate the model parameters.
Etis Sunandi   +2 more
doaj   +1 more source

Reliability of environmental sampling culture results using the negative binomial intraclass correlation coefficient. [PDF]

open access: yes, 2014
The Intraclass Correlation Coefficient (ICC) is commonly used to estimate the similarity between quantitative measures obtained from different sources.
Aly, Sharif S   +3 more
core   +1 more source

Varying coefficient models as Mixed Models : reparametrization methods and bayesian estimation [PDF]

open access: yes, 2013
Non-linear relationships are accommodated in a regression model using smoothing functions. Interaction may occurs between continuous variable, in this case interaction between nonlinear and linear covariate leads to varying coefficent model (VCM), a ...
Freni Sterrantino, Anna
core   +1 more source

Model-Based Geostatistics for Prevalence Mapping in Low-Resource Settings [PDF]

open access: yes, 2015
In low-resource settings, prevalence mapping relies on empirical prevalence data from a finite, often spatially sparse, set of surveys of communities within the region of interest, possibly supplemented by remotely sensed images that can act as proxies ...
Diggle, Peter J., Giorgi, Emanuele
core   +2 more sources

Determinants of international football performance: Empirical evidence from the 1994–2022 FIFA World Cup

open access: yesHeliyon, 2023
In the past 30 years, the global influence of the FIFA World Cup has continued to grow. According to statistics, the final match of the 2022 World Cup in Qatar attracted an audience of over 3 billion.
Mu Fan, Fei Liu, Dong Huang, Hui Zhang
doaj   +1 more source

Non-linear Mixed Models in a Dose Response Modelling

open access: yesInPrime, 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

Improved Landsat-based snow cover mapping accuracy using a spatiotemporal NDSI and generalized linear mixed model

open access: yesScience of Remote Sensing, 2023
Snow cover extent and distribution over the years have a significant impact on hydrological, terrestrial, and climatologic processes. Snow cover mapping accuracy using remote sensing data is then particularly important. This study analyses Landsat-8 NDSI
Charlotte Poussin   +4 more
doaj   +1 more source

On the application of generalized linear mixed models for predicting path loss in LTE networks

open access: yesEURASIP Journal on Advances in Signal Processing, 2023
To meet the ever-growing demand for higher data rates, accurate channel models are needed for optimal design and deployment of mobile wireless networks. This work proposes a new method for addressing path loss modeling at 800 MHz of suburban environment ...
Achraf Cohen, Yazan A. Alqudah
doaj   +1 more source

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