STA 5352 "Theory of Statistics I" is the first course in a two-semester sequence on the theory of statistics for the Ph.D. in Statistics at Baylor University. The course is offered by the Department of Statistical Science. Course topics are the theory of probability and random variables, distribution and density functions, expectation, point and interval estimation, and sufficiency.
-
Loss Function Optimality
-
Sufficiency and Unbiased
-
Best Unbiased Estimator
-
Evaluating Point Estimators: Bias and Mean…
-
Bayes Estimators
-
Maximum Likelihood Estimators
-
Method of Moments Estimators
-
Introduction to Point Estimation
-
The Equivariance Principle
-
The Likelihood Principle
-
Minimal Sufficiency, Ancillarity, and Completeness
-
Data Reduction and Sufficiency
-
The Delta Method
-
Convergence Concepts
-
Order Statistics
Search for ""