BTRY 5090

BTRY 5090

Course information provided by the 2025-2026 Catalog.

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


Prerequisites REF-FA25 BTRY 3080 or MATH 4710, or equivalent and STSCI 2200 or equivalent.

Last 3 terms offered 2025SP, 2024FA, 2024SP

View Enrollment Information

Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: BTRY 4090STSCI 4090STSCI 5090

  • 4 Credits Graded

  •  1620 BTRY 5090   LEC 001

    • TR
    • Aug 25 - Dec 8, 2025
    • Diciccio, T

  • Instruction Mode: In Person

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

  •  1621 BTRY 5090   DIS 201

    • F
    • Aug 25 - Dec 8, 2025
    • Diciccio, T

  • Instruction Mode: In Person