Results 61 to 70 of about 575,579 (175)
Effect of imperfect detection on the estimation of niche overlap between two forest dormice
iForest - Biogeosciences and Forestry, 2018 Quantification of niche overlap represents an important topic in several aspects of ecology and conservation biology, although it could be potentially affected by imperfect detection, i.e., failure to detect a species at occupied sites.
Paniccia C +8 more
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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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Generalized semiparametrically structured mixed models [PDF]
, 2001 Generalized linear mixed models are a common tool in statistics which extends generalized linear models to situations where data are hierarchically clustered or correlated.
Tutz, Gerhard
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MCMC for Generalized Linear Mixed Models with glmmBUGS [PDF]
The R Journal, 2010 The glmmBUGS package is a bridging tool between Generalized Linear Mixed Mod- els (GLMMs) in R and the BUGS language. It provides a simple way of performing Bayesian inference using Markov Chain Monte Carlo (MCMC) methods, taking a model formula and data frame in R and writing a BUGS model file, data file, and initial values files.
Brown, Patrick, Zhou, Lutong
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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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Poisson cokriging as a generalized linear mixed model
Spatial Statistics, 2020 It is often of interest to predict spatially correlated count outcomes that follow a Poisson distribution. For example, in the environmental sciences we may want to predict pollen counts using temperature or precipitation data as auxiliary variables. To predict a Poisson outcome variable in the presence of an auxiliary variable, Poisson cokriging as a ...
Lynette M. Smith +2 more
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General Design Bayesian Generalized Linear Mixed Models
Statistical Science, 2006 Published at http://dx.doi.org/10.1214/088342306000000015 in the Statistical Science (http://www.imstat.org/sts/) by the Institute of Mathematical Statistics (http://www.imstat.org)
Zhao, Yihua +3 more
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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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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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General and Generalized Linear Mixed Models
, 2014 General and Generalized Linear Mixed Models workshop slides (code and data available here: http://dx.doi.org/10.6084/m9.figshare.1243184)
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