- 1.4k Downloads
One of the great values of the Gauss-Markov theorem is that it provides conditions which, if they hold, assure us that least squares is a good procedure. These conditions can be checked and if we find that one or more of them are seriously violated, we can take action that will cause at least approximate compliance. This and the next few chapters will deal with various ways in which these G-M conditions can be violated and what we would then need to do.
KeywordsOrdinary Little Square House Price Unequal Variance Weighted Little Square Ordinary Little Square Model
Unable to display preview. Download preview PDF.