Course Information
Statistical Inference (STAT 517) - Spring 2023
http://www.stat.purdue.edu/~tlzhang/stat517/stat517.htm
Course Description
Statistics 517 is an introduction course to the statistical theory and inference. The course will cover: basic probability distributions; basic estimation including consistency, unbiasedness, maximum likelihood estimation, moment estimation, and limiting distributions.
Prerequisite:
Stat 511, Calculus, Linear Algebra.
COVID-19 Issues:
- Due to COVID-19 issues, everybody should follow university's policies.
- All homework assignments and exams must be submitted electronically.
- Please try to upload your files via Purdue Brightspace.
- Solutions must be typed in either by MS Word or LATEX.
- No hard copies will be distributed or collected.
Schedule
- MWF 12:30pm-1:20pm, UNIV 019.
- Midterm: Web-based, take-home (due to COVID-19 issues), time TBA, open book and open notes. Please submit your solution file to the BrightSpace. No handwriting and scanned.
- Final: Web-based, take-home (due to COVID-19 issues), time TBA, open book and open notes. Please submit your solution file to the BrightSpace. No handwriting and scanned.
Instructor
- Tonglin Zhang, Associate Professor of Statistics
- Email: tlzhang@purdue.edu
- Office: 214 Math
- Phone: (765)496-2097
- Office Hour: Office office hours are web-based at https://purdue.webex.com/meeting/tlzhang. Time: 10:00am-12:00pm on Tuesday
TA/Grader
- Nanda, Phalguni: nanda14@purdue.edu.
- The grader will grade all homework assignments and exams. Please send an email to the grader and cc
to me if you have any grading questions about the grading of the homework assignments and the exams.
- Please submit your solution file to the BrightSpace. No handwriting and scanned.
- All homework assignments will be graded, and all solutions will be provided by the instructor.
Textbooks
- Hogg, McKean, and Craig: Introduction to Mathematical Statistics, 8th Edition.
- The course will cover until Chapter 7 with additional issues on linear regression.
- Chapters 1-3 are about probability. I will treat them as a review.
- Chapters 4-7 are about traditional statistical theory.
Software
Web Page
All course information will be available on http://www.stat.purdue.edu/~tlzhang/stat517/stat517.htm .
Homework
Everybody upload solutions to the BrightSpace. Distance learning students can hand in by emails to the grader.
Exams
- Take home: due to COVID-19 issues; Open-book and open notes. I will announce the date two weeks before the schedule.
- The exam will be posted one day (before 11:59pm) before the deadline. The deadline will be the exam day at 11:59pm.
- Students should upload their solutions by the BrightSpace before the deadline.
- Makeup: must be pre-approved at least one week before the official exam time. Students cannot decide it by themselves. The instructor can deny a makeup exam if it is not pre-approv.
- Emergency events will be considered.
Course Requirements and Grades
The final grade has the following
components:
- Homework (30%) will be posted on the course web page mostly. No late due is accepted and solutions will be available soon after due. The lowest score will be dropped.
- Midterms (30%).
- Final (35%).
- Evaluateion(5%). You will get thess points if you fill in the on-line evaluation.
Initially, it is
- 90-100: A-, A, A+
- 80-90: B-, B, B+
- 70-80: C-, C, C+
- 60-70: D
- Below 60: F
The criterion would be lower but not be higher.