Add to ORKGIn this paper the formulas for the matrices of the mean squared prediction error are derived for both the underfitted and the overfitted models of unrestricted reduced form of a linear simultaneous equation system
<p>Prediction value (mean ± SEM) of the confusion matrix obtained by the non linear model.</p
<p>Root mean squared error of prediction (RMSEP) for different number of components of partial least...
AbstractAssuming a general linear model with known covariance matrix, several linear and nonlinear p...
textabstractOne of the most important functions of a simultaneous equation model is prediction the v...
Probability density functions were derived for errors in the evaluation of unknowns by the least squ...
Approximating the mean squared prediction error in linear models under the family of exponential cor...
Mult i relät ional models involving simultaneously dependent linear equations are often employed in ...
<p>Prediction value (mean ± SEM) of the confusion matrix obtained by the linear model.</p
SIGLEAvailable from British Library Document Supply Centre- DSC:3597.7765(UEA-ERC-DP--9304) / BLDSC ...
This paper considers inference procedures in a system of linear simultaneous equations with errors g...
The asymptotic expression for the mean-squared prediction error is discussed for the near-unit-root ...
We obtain a conditional prediction mean squared error for a state space model with estimated paramet...
<p>The prediction errors from the MS and SS models are plotted as circles and triangles, respectivel...
Mixed linear model, True model, Misspecified model, Dispersion, Random regression coefficient model,...
In simultaneous equation theory a sample is said to be undersized when it is smaller than the number...
<p>Prediction value (mean ± SEM) of the confusion matrix obtained by the non linear model.</p
<p>Root mean squared error of prediction (RMSEP) for different number of components of partial least...
AbstractAssuming a general linear model with known covariance matrix, several linear and nonlinear p...
textabstractOne of the most important functions of a simultaneous equation model is prediction the v...
Probability density functions were derived for errors in the evaluation of unknowns by the least squ...
Approximating the mean squared prediction error in linear models under the family of exponential cor...
Mult i relät ional models involving simultaneously dependent linear equations are often employed in ...
<p>Prediction value (mean ± SEM) of the confusion matrix obtained by the linear model.</p
SIGLEAvailable from British Library Document Supply Centre- DSC:3597.7765(UEA-ERC-DP--9304) / BLDSC ...
This paper considers inference procedures in a system of linear simultaneous equations with errors g...
The asymptotic expression for the mean-squared prediction error is discussed for the near-unit-root ...
We obtain a conditional prediction mean squared error for a state space model with estimated paramet...
<p>The prediction errors from the MS and SS models are plotted as circles and triangles, respectivel...
Mixed linear model, True model, Misspecified model, Dispersion, Random regression coefficient model,...
In simultaneous equation theory a sample is said to be undersized when it is smaller than the number...
<p>Prediction value (mean ± SEM) of the confusion matrix obtained by the non linear model.</p
<p>Root mean squared error of prediction (RMSEP) for different number of components of partial least...
AbstractAssuming a general linear model with known covariance matrix, several linear and nonlinear p...