Add to ORKGFor the setting of multiple regression with measurement error in a single regressor, we present some very simple formulas to assess the result that one may expect when correcting for measurement error. It is shown where the corrected estimated regression coefficients and the error variance may lie, and how the t-value behaves
The coefficient of determination (R2) is used for judging the goodness of fit in a linear regression...
It is well known that measurement error in observable variables induces bias in estimates in standar...
We consider the implications of an alternative to the classical measurement-error model, in which th...
For the setting of multiple regression with measurement error in a single regressor, we present some...
For the setting of multiple regression with measurement error in a single regressor, we present some...
For the setting of multiple regression with measurement error in a single regressor, we present some...
For the setting of multiple regression with measurement error in a single regressor, we present some...
For the setting of multiple regression with measurement error in a single regressor, we present some...
For the setting of multiple regression with measurement error in a single regressor, we present some...
For the setting of multiple regression with measurement error in a single regressor, we present some...
For the setting of multiple regression with measurement error in a single regressor, we present some...
For the setting of multiple regression with measurement error in a single regressor, we present some...
SOM-theme F Interactions between consumers and firms For the setting of multiple regression with mea...
In this thesis we study the effect of regressors measured with an error on an estimated coefficients...
AbstractThe problem of simultaneous estimation of the regression parameters in a multiple regression...
The coefficient of determination (R2) is used for judging the goodness of fit in a linear regression...
It is well known that measurement error in observable variables induces bias in estimates in standar...
We consider the implications of an alternative to the classical measurement-error model, in which th...
For the setting of multiple regression with measurement error in a single regressor, we present some...
For the setting of multiple regression with measurement error in a single regressor, we present some...
For the setting of multiple regression with measurement error in a single regressor, we present some...
For the setting of multiple regression with measurement error in a single regressor, we present some...
For the setting of multiple regression with measurement error in a single regressor, we present some...
For the setting of multiple regression with measurement error in a single regressor, we present some...
For the setting of multiple regression with measurement error in a single regressor, we present some...
For the setting of multiple regression with measurement error in a single regressor, we present some...
For the setting of multiple regression with measurement error in a single regressor, we present some...
SOM-theme F Interactions between consumers and firms For the setting of multiple regression with mea...
In this thesis we study the effect of regressors measured with an error on an estimated coefficients...
AbstractThe problem of simultaneous estimation of the regression parameters in a multiple regression...
The coefficient of determination (R2) is used for judging the goodness of fit in a linear regression...
It is well known that measurement error in observable variables induces bias in estimates in standar...
We consider the implications of an alternative to the classical measurement-error model, in which th...