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MATH 3307 Statistical Applications

This MATH 3307 Statistical Applications course offers in-depth the theoretical foundations for applied math ways that are helpful in several applications. The goal is to grasp the role of arithmetic within the analysis and development of economical applied math ways. At

At the end of this course, students ought to be ready to:

  • Formulate an applied math downside in mathematical terms from a real-life scenario
  • Select acceptable applied math ways
  • Understand the implications and limitations of assorted ways

Topics lined:

  • Introduction to Statistics
  • Parametric logical thinking
  • Maximum chance Estimation
  • The Method of Moments
  • Parametric Hypothesis Testing
  • Testing Goodness of match
  • Regression
  • Bayesian Statistics
  • Principal part Analysis
  • Generalized Linear Models

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