2012
DOI: 10.2134/2012.generalized-linear-mixed-models
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Analysis of Generalized Linear Mixed Models in the Agricultural and Natural Resources Sciences

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Cited by 255 publications
(284 citation statements)
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“…tional assumptions of the model carbon stocks were log-transformed. Carbon concentration (values between 0 and 1) was analyzed as a Beta-distributed variable according to the corresponding generalized linear mixed model for a split-plot design with the logit link function (Gbur et al, 2012). The model was fitted using the pseudo likelihood estimation method (Gbur et al, 2012).…”
Section: Acacia Seyalmentioning
confidence: 99%
See 1 more Smart Citation
“…tional assumptions of the model carbon stocks were log-transformed. Carbon concentration (values between 0 and 1) was analyzed as a Beta-distributed variable according to the corresponding generalized linear mixed model for a split-plot design with the logit link function (Gbur et al, 2012). The model was fitted using the pseudo likelihood estimation method (Gbur et al, 2012).…”
Section: Acacia Seyalmentioning
confidence: 99%
“…Carbon concentration (values between 0 and 1) was analyzed as a Beta-distributed variable according to the corresponding generalized linear mixed model for a split-plot design with the logit link function (Gbur et al, 2012). The model was fitted using the pseudo likelihood estimation method (Gbur et al, 2012). Analysis of covariance was used to compare the impact of the improved management practices on soil carbon stock and to eliminate the differences in the durations of the improved practices and in the carbon stocks of the adjacent traditional plots.…”
Section: Acacia Seyalmentioning
confidence: 99%
“…Data were analyzed by generalized linear mixed models analysis, using the normal distribution without a link function (Stroup, 2013). Numerous distributions were fit to the data (Gbur et al, 2012) and the normal distribution resulted in the best approximation of residuals to a linear function of normal theoretical quartiles (Q-Q plot) combined with a completely random scatter of residuals plotted against predicted values with no evidence of variance heterogeneity (Koenker, 2013). Locations and replicates were treated as random effects, while years, harvest dates, seeding mixtures and all interactions were treated as fixed effects.…”
Section: Nutritive Value Of Mixturesmentioning
confidence: 99%
“…The denominator degrees of freedom were calculated from the variance-covariance matrix of the time factor by the Kenward and Roger method (KR) to obtain a good approximation of the test statistics to the F distribution (Kenward & Roger, 2009;Gbur et al, 2012). Segmented non-linear regression of CH 4 emission rates on soil E h was used to determine the relation between CH4 emissions and soil E h .…”
Section: Resultsmentioning
confidence: 99%