<p>Generalized Linear Models (GLM) with Gamma distribution for assessing the association between mean monthly number of varicella patients and meteorological parameters.</p
<p>Results of generalized linear models (GLMs) showing the set of variables explaining richness of t...
The class of vector generalized linear and additive models (VGLMs and VGAMs) are very large and enco...
Abstract A generalized linear mixed model with a nonparametric distribution for the random effect is...
<p>Generalized Linear Model (GLM) for repeated measures: estradiol and testosterone by baseline grou...
<p>Bold <i>p</i>-values indicate a statistically significant effect (<i>p</i> < 0.05).</p
The type of distribution applied is listed below the name of the respective dependent variable (indi...
<p>Univariate Model for the Relationship between Nocturnal IOP Elevation and various Dynamic and Sta...
In statistics, linear modelling techniques are widely used methods to explain one variable by others...
<p>Generalized Linear Mixed Model (GLMM) results for overall effects on the numbers of soil nematode...
<p>Multivariate Model for the Relationship between Nocturnal IOP Elevation and various Dynamic and S...
<p>Results of the generalized linear mixed effects models (GLMMs) on the effects on biogeographic di...
An important statistical development in the last four decades has been the advancement in the field ...
Generalized linear model results for changes in vegetation factors across treatments and over time.<...
The generalized linear mixed model (GLMM) generalizes the standard linear model in three ways: accom...
<p>Summary of the generalized linear models to test the variables affecting seed seedling and germin...
<p>Results of generalized linear models (GLMs) showing the set of variables explaining richness of t...
The class of vector generalized linear and additive models (VGLMs and VGAMs) are very large and enco...
Abstract A generalized linear mixed model with a nonparametric distribution for the random effect is...
<p>Generalized Linear Model (GLM) for repeated measures: estradiol and testosterone by baseline grou...
<p>Bold <i>p</i>-values indicate a statistically significant effect (<i>p</i> < 0.05).</p
The type of distribution applied is listed below the name of the respective dependent variable (indi...
<p>Univariate Model for the Relationship between Nocturnal IOP Elevation and various Dynamic and Sta...
In statistics, linear modelling techniques are widely used methods to explain one variable by others...
<p>Generalized Linear Mixed Model (GLMM) results for overall effects on the numbers of soil nematode...
<p>Multivariate Model for the Relationship between Nocturnal IOP Elevation and various Dynamic and S...
<p>Results of the generalized linear mixed effects models (GLMMs) on the effects on biogeographic di...
An important statistical development in the last four decades has been the advancement in the field ...
Generalized linear model results for changes in vegetation factors across treatments and over time.<...
The generalized linear mixed model (GLMM) generalizes the standard linear model in three ways: accom...
<p>Summary of the generalized linear models to test the variables affecting seed seedling and germin...
<p>Results of generalized linear models (GLMs) showing the set of variables explaining richness of t...
The class of vector generalized linear and additive models (VGLMs and VGAMs) are very large and enco...
Abstract A generalized linear mixed model with a nonparametric distribution for the random effect is...