ORIE 6700

ORIE 6700

Course information provided by the Courses of Study 2022-2023.

Topics include review of distribution theory of special interest in statistics: normal, chi-square, binomial, Poisson, t, and F; introduction to statistical decision theory; sufficient statistics; theory of minimum variance unbiased point estimation; maximum likelihood and Bayes estimation; basic principles of hypothesis testing, including Neyman-Pearson Lemma and likelihood ratio principle; confidence interval construction; and introduction to linear models.

When Offered Fall.

Prerequisites/Corequisites Prerequisite: undergraduate probability/statistics course.

View Enrollment Information

Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one discussion.

  • 4 Credits Stdnt Opt

  •  9049 ORIE 6700   LEC 001

  • Instruction Mode: In Person

  •  9050 ORIE 6700   DIS 201

  • Instruction Mode: In Person

Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one discussion.

  • 4 Credits Stdnt Opt

  • 19968 ORIE 6700   LEC 002

    • MW Online Meeting
    • Aug 22 - Dec 5, 2022
    • Yu, C

  • Instruction Mode: Distance Learning-Synchronous
    This course will be taught in Ithaca and streamed from NYC. Permission by Instructor only.

  • 19969 ORIE 6700   DIS 202

    • R Online Meeting
    • Aug 22 - Dec 5, 2022
    • Yu, C

  • Instruction Mode: Distance Learning-Synchronous