Unformatted text preview: e CR lower bound, and thus this unbiased estimator
is an efficient estimator for , and thus it is also a best estimator for . Dear students: This part of our study is very important (*will be in
the midterm & final).
Please study the corresponding chapters/sections for our latest three lectures (lectu
res 8, 9, 10):
Section 4.4 – Order Statistics
Section 5.1 – for an overview of Point Estimators
Section 5.2 – MOME
Section 5.3 – MLE
Section 5.4.1 – Unbiased Estimators
Section 5.5.2 – CramerRao Lower Bound, Efficient Estimator, Best Estimator (also c
alled the Uniformly Minimum Variance Unbiased Estimator, and abbreviated as
UMVUE) Midterm will be held in class on Thursday, March 27
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This document was uploaded on 03/15/2014 for the course AMS 412 at SUNY Stony Brook.
 Spring '14

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