BTRY 5090

BTRY 5090

Course information provided by the Courses of Study 2024-2025.

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.

When Offered Fall, Spring.

Prerequisites/Corequisites Prerequisite: BTRY 3080 or MATH 4710, or equivalent and at least one introductory statistics course.
Forbidden Overlaps Forbidden Overlap: due to an overlap in content, students will receive credit for only one course in the following group: BTRY 4090, MATH 4720, STSCI 4090, STSCI 5090.

View Enrollment Information

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

  • 4 Credits Graded

  •  2160 BTRY 5090   LEC 001

    • MW
    • Jan 21 - May 6, 2025
    • 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/

  •  2161 BTRY 5090   DIS 201

    • F
    • Jan 21 - May 6, 2025
    • Wegkamp, M

  • Instruction Mode: In Person

  •  2162 BTRY 5090   DIS 202

    • F
    • Jan 21 - May 6, 2025
    • Wegkamp, M

  • Instruction Mode: In Person

  • 11033 BTRY 5090   DIS 203

    • F
    • Jan 21 - May 6, 2025
    • Wegkamp, M

  • Instruction Mode: In Person