Regression analysis results of the least square method using different indicators (m = 48).</p
Results accounting for endogeneity using two-stage least square regressions with generated instrumen...
Regression analysis results of error-in-variable models using color and GSMCC indicators (m = 48).</...
<p>Regression performance with respect to the use of different number of longitudinal time points by...
Multiple linear regression was used to determine the ratio of similar materials.</p
<p>Squared R values of the linear regression lines fitted by least square method to the data samples...
<p>Comparison of regression methods relative to their ability to handle different types of data prob...
<p>Regression results from the least-squares fit of Eq. 3 to the RT entropy data.</p
<p>Different regression methods and their correlation coefficients averaged on the test sets.</p
<p>Results of the multi-variate regression analysis with quasi-least squares, adjusted for multiple ...
<p>Ordinary Least Squares Regression Results of Predictor Variables on Number of Recommended Communi...
Ordinary least square regression results with adjusted hemoglobin as dependent variable.</p
<p>results of the linear regressions for error rates (in %) using the product of the operands as ind...
<p>Regression results from the least-squares fit of Eq. 2 to the eye fixation duration data.</p
Mean squared error and loading plots relating to the partial least squares regression analysis.</p
<p>Squared R values of the linear regression lines fitted by least square method to the data samples...
Results accounting for endogeneity using two-stage least square regressions with generated instrumen...
Regression analysis results of error-in-variable models using color and GSMCC indicators (m = 48).</...
<p>Regression performance with respect to the use of different number of longitudinal time points by...
Multiple linear regression was used to determine the ratio of similar materials.</p
<p>Squared R values of the linear regression lines fitted by least square method to the data samples...
<p>Comparison of regression methods relative to their ability to handle different types of data prob...
<p>Regression results from the least-squares fit of Eq. 3 to the RT entropy data.</p
<p>Different regression methods and their correlation coefficients averaged on the test sets.</p
<p>Results of the multi-variate regression analysis with quasi-least squares, adjusted for multiple ...
<p>Ordinary Least Squares Regression Results of Predictor Variables on Number of Recommended Communi...
Ordinary least square regression results with adjusted hemoglobin as dependent variable.</p
<p>results of the linear regressions for error rates (in %) using the product of the operands as ind...
<p>Regression results from the least-squares fit of Eq. 2 to the eye fixation duration data.</p
Mean squared error and loading plots relating to the partial least squares regression analysis.</p
<p>Squared R values of the linear regression lines fitted by least square method to the data samples...
Results accounting for endogeneity using two-stage least square regressions with generated instrumen...
Regression analysis results of error-in-variable models using color and GSMCC indicators (m = 48).</...
<p>Regression performance with respect to the use of different number of longitudinal time points by...
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