University of Calgary

STAT 531 - Monte Carlo Methods & Statistical Computing - Fall 2013

Introduction to a variety of statistical languages and packages and introductory statistical programming in SPLUS. Pseudo-random variate generation. Bootstrapping. Variance reduction techniques. Computation of definite integrals. Model design and simulation, with applications.
This course may not be repeated for credit.

Hours

  • H(3-1)

Notes

  • Statistics 421 is highly recommended as preparation.

Prerequisite(s)

  • Statistics 323 or Mathematics 323; and Mathematics 353 or 381; or consent of the Division.
Syllabus

Sections

This course will be offered next in Fall 2014.
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