<p>Residuals are the squared differences between data values and predicted values for that age.</p
<p>Age-profiles in 2006 (solid) and 2012 (dashed), predicted based on regressions that control for a...
This table depicts the average R2, mean square error, median absolute error and R2 95% confidence in...
<p>Dash Line: Heckman Selection Model. Solid Line: Lifetime Model (Random Coefficient): Certainty. D...
<p>Residuals are the squared differences between data values and predicted values for that age.</p
<p>Residuals are the squared differences between data values and predicted values for that age.</p
<p>Plots of residuals against known ages (left, a) and of known against estimated ages (right, b) us...
<p>The residuals are the variations in log-adjusted observed values from the log-adjusted age-relate...
Abst rac t. Residuals for the Growth Curve model will be discussed. In uni-variate linear models as ...
Residuals of fitting models: Comparison using Q-Q plots (left) and real vs. residual (right) for dif...
<p>Predicted root mean square error of the estimation of age using a partial least squares (PLS) mod...
A number of different kinds of residuals are used in the analysis of generalized linear models. Gene...
Δage residuals, defined as the residual from regressing predicted age on chronological age was calcu...
<p>The residuals are adjusted for a 2-level factor variable for Sex, and age in model 3a. The residu...
Residuals are calculated as the absolute difference between median log titre estimated in the model ...
<p>There are skewed residuals at 70 years in the normal sample (top) and a similar pattern at 85-89 ...
<p>Age-profiles in 2006 (solid) and 2012 (dashed), predicted based on regressions that control for a...
This table depicts the average R2, mean square error, median absolute error and R2 95% confidence in...
<p>Dash Line: Heckman Selection Model. Solid Line: Lifetime Model (Random Coefficient): Certainty. D...
<p>Residuals are the squared differences between data values and predicted values for that age.</p
<p>Residuals are the squared differences between data values and predicted values for that age.</p
<p>Plots of residuals against known ages (left, a) and of known against estimated ages (right, b) us...
<p>The residuals are the variations in log-adjusted observed values from the log-adjusted age-relate...
Abst rac t. Residuals for the Growth Curve model will be discussed. In uni-variate linear models as ...
Residuals of fitting models: Comparison using Q-Q plots (left) and real vs. residual (right) for dif...
<p>Predicted root mean square error of the estimation of age using a partial least squares (PLS) mod...
A number of different kinds of residuals are used in the analysis of generalized linear models. Gene...
Δage residuals, defined as the residual from regressing predicted age on chronological age was calcu...
<p>The residuals are adjusted for a 2-level factor variable for Sex, and age in model 3a. The residu...
Residuals are calculated as the absolute difference between median log titre estimated in the model ...
<p>There are skewed residuals at 70 years in the normal sample (top) and a similar pattern at 85-89 ...
<p>Age-profiles in 2006 (solid) and 2012 (dashed), predicted based on regressions that control for a...
This table depicts the average R2, mean square error, median absolute error and R2 95% confidence in...
<p>Dash Line: Heckman Selection Model. Solid Line: Lifetime Model (Random Coefficient): Certainty. D...
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