A parametric framework for multidimensional linear measurement error regression
The ordinary linear regression method is limited to bivariate data because it is based on the Cartesian representation y = f(x).Using the chain rule, we transform the method to the parametric remedy essentials zinc paste representation (x(t), y(t)) and obtain a linear regression framework in which the weighted average is used as a parameter for a m