<p>Each row specifies the increase in goodness of fit obtained by adding the current predictor to the model including all preceding predictors (as well as the random intercepts for word, location and transcriber). Note that the final row indicates that population average income does not improve the model.</p
<p>Increases in goodness of fit by progressively adding to multivariate model.</p
Estimates of fixed-effect coefficients, with 95% confidence intervals, in the mixed-effects models.<...
A simple and intuitive measure of model fit is the proportion P of potential crime locations with a ...
<p>Each row specifies the increase in goodness of fit of the model resulting from the addition of th...
<p>Each row specifies the significant increase in goodness of fit obtained by adding the current pre...
Model goodness of fit results from the climatic indicators and lags included within the study.</p
<p>(A) Population prediction versus observed concentration. (B) Individual prediction versus observe...
<p>Confirmatory factor analysis, model fit and goodness-of-fit indicators (N = 78).</p
Goodness-of-fit of the indicators in the original CEQ factor model and CEQ-C factor model.</p
Estimates of fixed effect coefficients and quality metrics for the inference models.</p
Estimates of fixed effects coefficients and performance metrics for the prediction models.</p
Goodness-of-fit statistics of the one-factor model, the three-factor model and the five-factor model...
Fixed effect estimate of parameters for panel models of daily number of cases (DCPM) and death (DDPM...
<p>Absolute value of the fixed effect coefficient () for each predictor, and percent change in when...
<p>Goodness of fit (R<sup>2</sup>) values for the four models based on averaged data.</p
<p>Increases in goodness of fit by progressively adding to multivariate model.</p
Estimates of fixed-effect coefficients, with 95% confidence intervals, in the mixed-effects models.<...
A simple and intuitive measure of model fit is the proportion P of potential crime locations with a ...
<p>Each row specifies the increase in goodness of fit of the model resulting from the addition of th...
<p>Each row specifies the significant increase in goodness of fit obtained by adding the current pre...
Model goodness of fit results from the climatic indicators and lags included within the study.</p
<p>(A) Population prediction versus observed concentration. (B) Individual prediction versus observe...
<p>Confirmatory factor analysis, model fit and goodness-of-fit indicators (N = 78).</p
Goodness-of-fit of the indicators in the original CEQ factor model and CEQ-C factor model.</p
Estimates of fixed effect coefficients and quality metrics for the inference models.</p
Estimates of fixed effects coefficients and performance metrics for the prediction models.</p
Goodness-of-fit statistics of the one-factor model, the three-factor model and the five-factor model...
Fixed effect estimate of parameters for panel models of daily number of cases (DCPM) and death (DDPM...
<p>Absolute value of the fixed effect coefficient () for each predictor, and percent change in when...
<p>Goodness of fit (R<sup>2</sup>) values for the four models based on averaged data.</p
<p>Increases in goodness of fit by progressively adding to multivariate model.</p
Estimates of fixed-effect coefficients, with 95% confidence intervals, in the mixed-effects models.<...
A simple and intuitive measure of model fit is the proportion P of potential crime locations with a ...
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