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MCS,PHD
Argosy University/ Phoniex University/
Nov-2005 - Oct-2011
Professor
Phoniex University
Oct-2001 - Nov-2016
3 Let Y¯ denote the sample average from a random sample with mean m and variance 2. Consider two alternative estimators of m: W1 [(n 1)/n]Y¯ and W2 Y¯/2.
(i) Show that W1 and W2 are both biased estimators of m and find the biases. What hap- pens to the biases as n → ? Comment on any important differences in bias for the
two estimators as the sample size gets large.
(ii) Find the probability limits of W1 and W2. {Hint: Use Properties PLIM.1 and PLIM.2; for W1, note that plim [(n 1)/n] 1.} Which estimator is consistent?
(iii) Find Var(W1) and Var(W2).
(iv) Argue that W1 is a better estimator than Y¯ if m is “close” to zero. (Consider both bias
and variance.)
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