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Introduction to Statistical Inference

  • autumn
  • winter

3 units

Letter or Credit/No Credit

Modern statistical concepts and procedures derived from a mathematical framework. Statistical inference, decision theory; point and interval estimation, tests of hypotheses; Neyman-Pearson theory. Bayesian analysis; maximum likelihood, large sample theory. Prerequisite: 116.

Course Prequisites


  • LEC

    • Monday Wednesday Friday 11:30:00 AM - 12:20:00 PM @ 370-370 with Chiara Sabatti

Grade Distribution

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