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 BTRY 3080 or MATH 4710, or equivalent and at least one introductory statistics course.

Last 4 Terms Offered 2025FA, 2025SP, 2024FA, 2024SP

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

  • 4 Credits Graded

  •  1585 BTRY 5090   LEC 001

    • MW
    • Jan 20 - May 5, 2026
    • 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/

  •  1586 BTRY 5090   DIS 202

    • F
    • Jan 20 - May 5, 2026
    • Wegkamp, M

  • Instruction Mode: In Person

  •  6986 BTRY 5090   DIS 203

    • F
    • Jan 20 - May 5, 2026
    • Wegkamp, M

  • Instruction Mode: In Person