MATH 4720

MATH 4720

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.

Distribution Requirements (DLS-AG, OPHLS-AG), (SDS-AS)

Last 1 Terms Offered 2025FA

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

  • 4 Credits Graded

  • 17848 MATH 4720   LEC 001

    • MW Upson Hall 142
    • Jan 20 - May 5, 2026
    • Wegkamp, M

  • Instruction Mode: In Person

  • 17849 MATH 4720   DIS 202

  • Instruction Mode: In Person

  • 17850 MATH 4720   DIS 203

    • F Upson Hall 222
    • Jan 20 - May 5, 2026
    • Wegkamp, M

  • Instruction Mode: In Person