Unbiased Least Square Estimate Vs. Biased Maximum Likelihood Estimate
Both
and
are used in different contexts. The former can give an unbiased to estimate when the two groups share an equal population variance. The latter one can give a more efficient to estimate biasedly. Note that the quantities in the right hand sides of both equations are the unbiased estimates.
Read more about this topic: Pooled Variance
Famous quotes containing the words unbiased, square, estimate, biased, maximum and/or likelihood:
“Where there is no exaggeration there is no love, and where there is no love there is no understanding. It is only about things that do not interest one, that one can give a really unbiased opinion; and this is no doubt the reason why an unbiased opinion is always valueless.”
—Oscar Wilde (18541900)
“Rationalists, wearing square hats,
Think, in square rooms,
Looking at the floor,
Looking at the ceiling.
They confine themselves
To right-angled triangles.”
—Wallace Stevens (18791955)
“We estimate the wisdom of nations by seeing what they did with their surplus capital.”
—Ralph Waldo Emerson (18031882)
“Scientists are humantheyre as biased as any other group. But they do have one great advantage in that science is a self-correcting process.”
—Cyril Ponnamperuma (b. 1923)
“I had a quick grasp of the secret to sanityit had become the ability to hold the maximum of impossible combinations in ones mind.”
—Norman Mailer (b. 1923)
“What likelihood is there of corrupting a man who has no ambition?”
—Samuel Richardson (16891761)