Results 61 to 70 of about 570,704 (178)
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 +3 more
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On the application of generalized linear mixed models for predicting path loss in LTE networks
EURASIP 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
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Fence methods for mixed model selection
, 2008 Many model search strategies involve trading off model fit with model complexity in a penalized goodness of fit measure. Asymptotic properties for these types of procedures in settings like linear regression and ARMA time series have been studied, but ...
Gu, Zhonghua +3 more
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Generalized linear mixed model for segregation distortion analysis [PDF]
BMC Genetics, 2011 Segregation distortion is a phenomenon that the observed genotypic frequencies of a locus fall outside the expected Mendelian segregation ratio. The main cause of segregation distortion is viability selection on linked marker loci. These viability selection loci can be mapped using genome-wide marker information.We developed a generalized linear mixed ...
Zhan, Haimao, Xu, Shizhong
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Local Distance-Based Generalized Linear Models using the dbstats package for R [PDF]
, 2012 This paper introduces local distance-based generalized linear models. These models extend (weighted) distance-based linear models firstly with the generalized linear model concept, then by localizing.
Boj del Val, Eva +5 more
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Ecology and Evolution, 2022 Biological data are often intrinsically hierarchical (e.g., species from different genera, plants within different mountain regions), which made mixed‐effects models a common analysis tool in ecology and evolution because they can account for the non ...
Johannes Oberpriller +2 more
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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
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Numerical Solitons of Generalized Korteweg-de Vries Equations
, 2005 We propose a numerical method for finding solitary wave solutions of generalized Korteweg-de Vries equations by solving the nonlinear eigenvalue problem on an unbounded domain. The artificial boundary conditions are obtained to make the domain finite. We
Camassa +7 more
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Acta Scientiarum: Technology, 2019 In recent years several longitudinal studies have been conducted in the field of pharmacology. In general, continuous response variables occur frequently in these situations and tend to present asymmetric characteristics, as well as being restricted to ...
Matheus Henrique Dal Molin Ribeiro +4 more
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The analysis of correlated non-Gaussian outcomes from clusters of size two: non-multilevel-based alternatives? [PDF]
, 2012 In this presentation we discuss the analysis of clustered binary or count data, when the cluster size is two. For Gaussian outcomes, linear mixed models taking into account the correlation within clusters, are frequently used and well understood. Here we
Loeys, Tom, Molenberghs, Geert
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