<p>[<i>R</i><sup><i>2</i></sup><sub><i>adj</i></sub>: adjusted coefficient determination; <i>RMSE</i>: root mean squared errors; <i>AIC</i>: Akaike’s information criterion; <i>b</i><sub><i>1</i></sub>, <i>b</i><sub><i>2</i></sub>,<i>…</i>,<i>b</i><sub><i>6</i></sub>: fixed parameters; <i>u</i><sub><i>j1</i>,</sub> <i>u</i><sub><i>j2</i></sub> = random effects parameters; <i>σ</i><sup><i>2</i></sup><sub><i>uj1</i></sub>: variance of <i>u</i><sub><i>j1</i></sub>; <i>σ</i><sup><i>2</i></sup><sub><i>uj2</i></sub>: variance of <i>u</i><sub><i>j2</i></sub>; <i>σ</i><sup><i>2</i></sup>: variance according to <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0186394#pone.0186394.e010" target="_blank">Eq 7</a>; <i>φ</i> = paramet...
<p>The front-ends under consideration are MFCC (intercept), LDA1, LDA2, NMF_CC, H_CC + G_NMF and the...
<p>*<i>p</i> < .05</p><p>**<i>p</i> < .01</p><p>***<i>p</i> < .001</p><p><i>p</i>.<i>z</i> = p-value...
A Monte Carlo simulation is employed to investigate the performance of five estimation methods of no...
Mixed-effect modeling is recommended for data with repeated measures, as often encountered in design...
<p>Parameter estimates from the best-fitting mixed effects model used to evaluate the relative influ...
Estimates of fixed-effect coefficients, with 95% confidence intervals, in the mixed-effects models.<...
<p>Fixed effects for each model are in boldface, random effects and residuals are italicized and cov...
AbstractThe paper reviews the linear mixed model with a focus on parameter estimation and inference....
Use of mixed models is advocated almost ubiquitously when regression analysis is applied in data set...
The full random-effects model (FREM) is a method for determining covariate effects in mixed-effects ...
<p>The whole model adjusted R<sup>2</sup>-value was 11%. Random effects were: Year (Intercept) varia...
<p>For each effect, the coefficient’s estimates are accompanied by 95% confidence intervals in paren...
We derive estimates of parameters for a mixed model. First, parameters are defined in a population. ...
<p>b = Regression coefficient; SE = Standard Error; SD = Standard Deviation; CI = Confidence Interva...
<p>Row 1 (interpreted like <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.011...
<p>The front-ends under consideration are MFCC (intercept), LDA1, LDA2, NMF_CC, H_CC + G_NMF and the...
<p>*<i>p</i> < .05</p><p>**<i>p</i> < .01</p><p>***<i>p</i> < .001</p><p><i>p</i>.<i>z</i> = p-value...
A Monte Carlo simulation is employed to investigate the performance of five estimation methods of no...
Mixed-effect modeling is recommended for data with repeated measures, as often encountered in design...
<p>Parameter estimates from the best-fitting mixed effects model used to evaluate the relative influ...
Estimates of fixed-effect coefficients, with 95% confidence intervals, in the mixed-effects models.<...
<p>Fixed effects for each model are in boldface, random effects and residuals are italicized and cov...
AbstractThe paper reviews the linear mixed model with a focus on parameter estimation and inference....
Use of mixed models is advocated almost ubiquitously when regression analysis is applied in data set...
The full random-effects model (FREM) is a method for determining covariate effects in mixed-effects ...
<p>The whole model adjusted R<sup>2</sup>-value was 11%. Random effects were: Year (Intercept) varia...
<p>For each effect, the coefficient’s estimates are accompanied by 95% confidence intervals in paren...
We derive estimates of parameters for a mixed model. First, parameters are defined in a population. ...
<p>b = Regression coefficient; SE = Standard Error; SD = Standard Deviation; CI = Confidence Interva...
<p>Row 1 (interpreted like <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.011...
<p>The front-ends under consideration are MFCC (intercept), LDA1, LDA2, NMF_CC, H_CC + G_NMF and the...
<p>*<i>p</i> < .05</p><p>**<i>p</i> < .01</p><p>***<i>p</i> < .001</p><p><i>p</i>.<i>z</i> = p-value...
A Monte Carlo simulation is employed to investigate the performance of five estimation methods of no...