In words, with weights wi = ki, which are the least-squares weights, the variance of the linear estimator fa is equal to the variance of the least-squares estimator fa; otherwise var(fa2) > var (fa). To put it differently, if there is a minimum-variance linear unbiased estimator of fa2, it must be the least-squares estimator. Similarly it can be shown that fa is a minimum-variance linear unbiased estimator of fa1.
Was this article helpful?
Learning About The Rules Of The Rich And Wealthy Can Have Amazing Benefits For Your Life And Success. Discover the hidden rules and beat the rich at their own game. The general population has a love / hate kinship with riches. They resent those who have it, but spend their total lives attempting to get it for themselves. The reason an immense majority of individuals never accumulate a substantial savings is because they don't comprehend the nature of money or how it works.