<p>The front-ends under consideration are MFCC (intercept), LDA1, LDA2, NMF_CC, H_CC + G_NMF and the combinations MFCC + H_CC + G_NMF and NMF_CC + H_CC + G_NMF. The inclusion of the first derivatives is indicated with the suffix “+ Δ‘”. For the fixed effect (parameterization), the classification rate ([%]) estimates, standard errors and t-values are shown. The statistical significance at <i>p</i> < 10<sup>−4</sup> is marked with ***, <i>p</i> < 10<sup>−3</sup> is marked with ** and <i>p</i> < 0.05 is marked with *. For the random effects (bird species and fold), variances and standard deviations are reported.</p
We derive estimates of parameters for a mixed model. First, parameters are defined in a population. ...
<p>Estimates for each predictor variable and elevation result from separate models and assume a Pois...
There has been considerable and controversial research over the past two decades into how successful...
<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...
<p>Number of observations: 178. Number of groups (random effect species): 5. AIC = 1331.97, BIC = 13...
Estimates of fixed-effect coefficients, with 95% confidence intervals, in the mixed-effects models.<...
International audienceA simulation study is performed to investigate the robustness of the maximum l...
AbstractThe paper reviews the linear mixed model with a focus on parameter estimation and inference....
Abstract Biological data are often intrinsically hierarchical (e.g., species from different genera, ...
Parameter estimates for best supported (AICc) linear mixed-effects model of raptor average probabili...
<p>Individual-specific (i.e. random) intercepts and slopes were included in all models, while non-si...
<p>Best linear unbiased estimates of fixed effects (method:lane) and estimated random effect (plant:...
<p>For each effect, the coefficient’s estimates are accompanied by 95% confidence intervals in paren...
<p>Type III sums of squares. The dependent variable is attitude towards species management, with hig...
<p>Estimates of two fixed regression coefficients and the random parameter of the mixed-effect model...
We derive estimates of parameters for a mixed model. First, parameters are defined in a population. ...
<p>Estimates for each predictor variable and elevation result from separate models and assume a Pois...
There has been considerable and controversial research over the past two decades into how successful...
<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...
<p>Number of observations: 178. Number of groups (random effect species): 5. AIC = 1331.97, BIC = 13...
Estimates of fixed-effect coefficients, with 95% confidence intervals, in the mixed-effects models.<...
International audienceA simulation study is performed to investigate the robustness of the maximum l...
AbstractThe paper reviews the linear mixed model with a focus on parameter estimation and inference....
Abstract Biological data are often intrinsically hierarchical (e.g., species from different genera, ...
Parameter estimates for best supported (AICc) linear mixed-effects model of raptor average probabili...
<p>Individual-specific (i.e. random) intercepts and slopes were included in all models, while non-si...
<p>Best linear unbiased estimates of fixed effects (method:lane) and estimated random effect (plant:...
<p>For each effect, the coefficient’s estimates are accompanied by 95% confidence intervals in paren...
<p>Type III sums of squares. The dependent variable is attitude towards species management, with hig...
<p>Estimates of two fixed regression coefficients and the random parameter of the mixed-effect model...
We derive estimates of parameters for a mixed model. First, parameters are defined in a population. ...
<p>Estimates for each predictor variable and elevation result from separate models and assume a Pois...
There has been considerable and controversial research over the past two decades into how successful...