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Unformatted text preview: likelihood estimate for . Def An estimator is said to be unbiased for if E( ) = for all . d) Is unbiased for ? That is, does E( ) equal ? 2. Let X 1 , X 2 , , X n be a random sample of size n from a population with mean and variance 2 . Show that the sample mean X and the sample variance S 2 are unbiased for and 2 , respectively....
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This note was uploaded on 10/29/2009 for the course STAT 410 taught by Professor Alexeistepanov during the Summer '08 term at University of Illinois at Urbana–Champaign.
- Summer '08