Examines point and confidence interval estimation. Principles of maximum likelihood, sufficiency, and completeness: tests of simple and composite hypotheses, linear models, and multiple regression analysis if time permits. Analyzes various distribution-free methods. Same as MATH 5520 and STAT 4520 and STAT 5520.
Ongoing course
Time: M-F 01:15 PM – 02:05 PM
Location: Zoom
Office hours: See details here
Grading
Homework: 40% – Weekly homework (you must turn them in)
Midterm: 30% – 7/1
Final : 30% – 8/6
Homework sets
All problems refer to our textbook.
Textbook
John E. Freund’s Mathematical Statistics with Applications
by Irwin Miller and Marylees Miller
Some books that may be useful in this course
Course notes
Final Review: Regression and Method of Least Squares – STAT 4520/5520
Problems of regression and the method of least squares.
Final Review: Statistical Hypothesis – STAT 4520/5520
Review on statistical hypothesis.
Final Review: Interval Estimation II – STAT 4520/5520
Second review to the final exam. Here we cover the interval estimation of difference between means, variances and proportions.
Final Review: Interval Estimation I – STAT 4520/5520
First review to the final exam. Here we cover the interval estimation.
Course Overview – STAT 4520/5520
Comments about the final and all the topics we covered in this course.
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Rodrigo Ribeiro, Ph.D 