Instructor: Vu Dinh
  Class times: Tuesday-Thursday: 9:30am-10:45am.
  Office hours: Tuesday-Wednesday 1:30pm-3pm.

• Syllabus
  • The midterm will be: October 29th, 2020 (in-class)
  • Detailed syllabus
  • Tentative schedule

• Topics and reference
  • Modern mathematical statistics with applications (Second Edition)
    Devore and Berk. Springer, 2012.
  
  
  • Topics: The aim is to cover Chapter 1 and Chapters 6-12.
    Topics include sampling distributions, parameter estimation, maximum likelihood estimation, hypothesis testing, confidence intervals, correlation and regression.

• Lectures
  • Lecture 1 (Tue, 09/01).
    
  • Lecture 2 (Thu, 09/03).
    
  • Lecture 3 (Tue, 09/08).
    Intro to R
  • Lecture 4 (Thu, 09/10).
    
  • Lecture 5 (Tue, 09/15).
    
  • Lecture 6 (Thu, 09/17).
    Central Limit Theorem (R codes)
    
  • Lecture 7 (Tue, 09/22).
    data.RData
    
  • Lecture 8 (Thu, 09/24).
    
  • Lecture 9 (Tue, 09/29).
    
  • Lecture 10 (Thu, 10/01).
    
  • Lecture 11 (Tue, 10/06).
    
  • Lecture 12 (Thu, 10/08).
    
  • Lecture 13 (Tue, 10/13).
    
  • Lecture 14 (Thu, 10/15).
    
  • Lecture 15 (Tue, 10/20).
    
  • Lecture 16 (Thu, 10/22).
    
  • Lecture 18 (Thu, 11/05).
    
  • Lecture 19 (Tue, 11/10).
    
  • Lecture 20 (Thu, 11/12).
    
  • Lecture 21 (Tue, 11/17).
    
  • Lecture 22 (Thu, 11/19).
    
  • Lecture 23 (Tue, 12/01).
    
  • Lecture 24 (Thu, 12/03).
    
  • Lecture 25: Review (Thu, 12/08).
    

• Homework
  • Homework 1 (due 09/17)
  • Homework 2 (due 09/24)
  • Homework 3 (due 10/08)
    (Note: Updated 10/01, 11:30am. The homework has been edited to remove #30 (Section 7.2) from the original version.)
  • Homework 4 (due 10/22)
  • Homework 5 (due 11/19)