A mean squared error criterion is used to compare five estimators of the coefficients in a linear regression model: least squares, principal components, ridge ...

It only makes sense. I did linear regression in google docs and I did it for python. But what if you neither of those? Can you do it by hand? Why yes. Suppose I take the same data from the pylab ...

Journal of the Royal Statistical Society. Series C (Applied Statistics), Vol. 29, No. 2 (1980), pp. 142-148 (7 pages) A test of the stability over time of the coefficients of a linear regression model ...

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...