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 representation (x(t). y(t)) and obtain a linear regression framework in which the weighted average is used as a parameter for a multivariate linear relation for a set of linearly related variabl... https://www.diegojavierfares.com/quick-grab-Be-The-Vibe-Top-Lemon-best-save/
A parametric framework for multidimensional linear measurement error regression
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