STAT 2641 - ASYMPTOTIC METHODS IN STATISTICS
Minimum Credits: 3
Maximum Credits: 3
This course deals with the concepts and technical tools that are useful for the study of asymptotic approximations in statistics. Topics include Laplace and saddle point methods, the limiting behavior of maximum likelihood and Bayes estimators and likelihood ratio test statistics, Edgeworth and Cornish-fisher expansions, efficiency, influence functions, the jackknife and the bootstrap.
Academic Career: Graduate
Course Component: Lecture
Grade Component: Grad LG/SNC Basis
Click here for class schedule information.
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