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AM 1650: Statistical Inference (I)

• Final exam will be given on Saturday December 9:00-12:00. The place is Sayles Auditorium. As before, this exam is semi-open book in that you can bring in 3 piece of paper with anything you want to jot down to aid your memory. Calculator is allowed. Please use HW as your guideline for review.

• Extra office hour are available for the week of Dec 9.
  Hui Wang: Monday Dec 10, 11:30-12:30. In my office.
  Michael Lamar: Thursday Dec 13, 1:00 - 2:30 in Metcalf Research Rm 305.

• Instructor: Hui Wang, 182 George Street, Rm 223, Tel: (401) 863-2360, huiwang@cfm.brown.edu, Office hours: Thursday, Friday 11:00-12:00, or by appointment.  
  
  
• Teaching Assistant: Below are the office hours and contact info.
  • Michale Lamar: Tel: 401-419-1881 , mlamar@dam.brown.edu.
    Office hour: Tuesday 11:00-1:00. Room 327, 182 George Street.

  • Jessica Nadel: Tel: 3-2113 , Jessica_Nadel@dam.brown.edu.
    Office hour: Wednesday & Thursday 12:00-1:00. Room 017, 182 George Street.

  • Ravi Srinivasan: Tel: 3-2230 , rav@dam.brown.edu.
    Office hour: Monday 11:00-1:00. Room 006, 180 George Street.

• Recitation:
  • Michale Lamar: Tuesday 4:00-5:00. Metcalf Chemistry Rm 305. (Located on Thayer Street across from the Science Library).
  • Jessica Nadel: Wednesday 11:00-12:00. Churchill Room B 9. (Located at 155 Angell Street).
  • Ravi Srinivasan: Monday 4:00-5:00. Wilson Hall 105.

• Textbook: Dennis D. Wackerly, William Mendenhall III, and Richard L. Scheaffer. ``Mathematical Statistics with Applications" (6th ed).

• Homework: There will be regular homework assignments, which will be handed out in class and also posted on the web .

• Exam: There will be two in-class midterm exams and final exam. The midterms are not cumulative, but the final exam is. The date for final exam is December 15 (Saturday) 9:00am-12:00pm.

• Final grade: The final grade will be given based on homeworks (20%), two midterm (15% + 15%), and the final (50%).

• Syllabus. [PDF file].

• Homework Assignments.

• Reading Assignments.

• Midterm 1 solution.
• Midterm 2 solution.

• Lecture Notes

  • Introduction. [PDF file, landscape form]

  • Chapter 2. [PDF file, landscape form]

  • Chapter 3. [PDF file, landscape form]

  • Chapter 4. [PDF file, landscape form]

  • A few topics. [PDF file, landscape form]

  • Review of multivariate claculus. [PDF file, landscape form]

  • Chapter 5. [PDF file, landscape form]

  • Chapter 6. [PDF file, landscape form]

  • Chapter 7. [PDF file, landscape form]

  • Chapter 8. [PDF file, landscape form]

  • Chapter 9. [PDF file, landscape form]

  • Chapter 10. [PDF file, landscape form]