Results 41 to 50 of about 631,292 (281)

Comparison of statistical models to analyse the genetic effect on within-litter variance in pigs

Animal, 2008
Genetics affects not only the weight of piglets at birth but also the variability of birth weight within litter. Previous studies on this topic assigned the sample standard deviation of piglet birth weights within litter as an observation to the sow ...
D. Wittenburg, V. Guiard, F. Teuscher, N. Reinsch   +3 more
doaj   +1 more source

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

Media 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, Khairil Anwar Notodiputro, Bagus Sartono   +2 more
doaj   +1 more source

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

Infectious 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, Zhou Yang, Ze-Lin Yan, Chen Shi, Xiao-Han Xu, Li Li, Chun-Quan Ou   +6 more
doaj   +1 more source

Inference in skew generalized t-link models for clustered binary outcome via a parameter-expanded EM algorithm.

PLoS ONE, 2021
Binary Generalized Linear Mixed Model (GLMM) is the most common method used by researchers to analyze clustered binary data in biological and social sciences.
Chénangnon Frédéric Tovissodé, Aliou Diop, Romain Glèlè Kakaï   +2 more
doaj   +1 more source

Modeling determinants of tourism demand in Colombia [PDF]

Tourism and Hospitality Management, 2020
Purpose – This paper estimates the determinants of international tourist arrivals to Colombia from 1995 to 2014. Design – Tourist demand is related to interlinking relationships between origins and destinations. The international movement of travelers
Juan Vanegas, Marisol Valencia, Jorge Restrepo, Guberney Muñeton   +3 more
doaj   +1 more source

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

, 2014
The Intraclass Correlation Coefficient (ICC) is commonly used to estimate the similarity between quantitative measures obtained from different sources.
Aly, Sharif S, Jiang, Jiming, Li, Ben, Zhao, Jianyang   +3 more
core   +1 more source

Fast stable direct fitting and smoothness selection for Generalized Additive Models [PDF]

, 2007
Existing computationally efficient methods for penalized likelihood GAM fitting employ iterative smoothness selection on working linear models (or working mixed models).
Akaike H., Anderson E., Bowman A. W., Brezger A., Dennis J. E., Dongarra J. J., Fahrmeir L., Gill P. E., Golub G. H., Green P. J., Gu C, Gu C., Hastie T., Hastie T., McCullagh P., Parker R. L., Pinheiro J. C., R Development Core Team, Ramsay T., Ruppert D., Stone M., Wahba G., Wahba G., Watkins D. S., Wood S. N., Xiang D.   +25 more
core   +3 more sources

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

Science 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, Pablo Timoner, Bruno Chatenoux, Gregory Giuliani, Pascal Peduzzi   +4 more
doaj   +1 more source

Penalized additive regression for space-time data: a Bayesian perspective [PDF]

, 2003
We propose extensions of penalized spline generalized additive models for analysing space-time regression data and study them from a Bayesian perspective.
Fahrmeir, Ludwig, Kneib, Thomas, Lang, S.   +2 more
core   +3 more sources

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