Course 960-583 Methods of Inference Home Page

Announcements

• Here is a first practice exam.
• Here are solutions to the first real exam.
• Here is a second practice exam and the final, with solutions. and solutions.

Course information

• Course Information (including prerequisites)
• Course Schedule

Lectures

• Lecture 01 Small format R code
• Lecture 02 Small format Math Code R code
• Lecture 03 Small format R code
• Lecture 04 Small format
• Lecture 05 Small format R code
• Lecture 06 Small format
• Lecture 07 Small format R code
• Lecture 08 Small format R code
• Lecture 09 Small format
• Lecture 10 Small format Math Code R code
• Lecture 11 Small format R code
• Lecture 12 Small format R code
• Lecture 13 Small format R code

Homeworks

• Solutions
  • HW-1 due 5 Feb
  • HW-2 due 19 Feb
  • HW-3 due 5 Mar
  • HW-4 due 2 Apr
  • HW-5 due 16 Apr
  • HW-6 due 30 Apr
• Already Assigned
• To Be Assigned (links not yet operational)

Supplimentary Materials

• Normal, t, and chi-square tables from Wackerly book
• Welch-Satterwaith Background
• Cauchy Convolution
• Neyman and Pearson (1933)
• Lehmann (1993)
• Review

Other resources

• Sakai Site
• Logistic regression data
• Ebola paper