STSCI 5090

STSCI 5090

Course information provided by the 2026-2027 Catalog.

Introduction to classical theory of parametric statistical inference that builds on the material covered in STSCI 3080. Topics include sampling distributions, principles of data reduction, likelihood, parameter estimation, hypothesis testing, interval estimation, and basic asymptotic theory.


Prerequisites background equivalent to: STSCI 3080 or MATH 4710; STSCI 2200.

Last 4 Terms Offered 2026FA, 2026SP, 2025FA, 2025SP

View Enrollment Information

Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: MATH 4720, STSCI 4090

  • 4 Credits Graded

  •  8804 STSCI 5090   LEC 001

    • MW
    • Jan 25 - May 11, 2027
    • Wegkamp, M

  • Instruction Mode: In Person

    For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/

  •  8805 STSCI 5090   DIS 201

    • F
    • Jan 25 - May 11, 2027
    • Wegkamp, M

  • Instruction Mode: In Person

  •  8806 STSCI 5090   DIS 202

    • F
    • Jan 25 - May 11, 2027
    • Wegkamp, M

  • Instruction Mode: In Person