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Fall 2017
Nov 20, 2017
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MATH 556 - Mathematical Statistics 1.
Distribution theory, stochastic models and multivariate transformations. Families of distributions including location-scale families, exponential families, convolution families, exponential dispersion models and hierarchical models. Concentration inequalities. Characteristic functions. Convergence in probability, almost surely, in Lp and in distribution. Laws of large numbers and Central Limit Theorem. Stochastic simulation.

Fall
Prerequisite: MATH 357 or equivalent

4.000 Credit hours

Schedule Types: Lecture, Final Exam

Faculty of Science
Mathematics and Statistics Department

Restrictions:
May not be enrolled in one of the following Faculties:     
      Faculty of Dentistry
      Faculty of Medicine
      School of Continuing Studies

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