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MATH 7580 Computational Statistics

Syllabus

Description:


Computational Statistics: Study of statistical visualization and other computationally intensive methods of statistics. Random variable generation, Monte Carlo methods, data partitioning methods, density estimation, regression smoothing, Markov chain Monte Carlo algorithms.

See the link below for a Table of Contents. Experience with R is not necessary. The book contains in Chapter 1 an introduction "Getting Started with R" that is intended for new users. Also, all of the examples are coded in R and the source code will be available to download.

R is free software - see below.

Textbook: Statistical Computing with R


Author's web page for textbook.

Link to publisher's website:
Statistical Computing with R
, Maria L. Rizzo, Chapman and Hall/CRC 2008, CAT #: C5459, Pub Date: 12/3/2007. ISBN: 9781584885450, ISBN 10: 1584885459.

Visit the R homepage and click on the "Books" link. There you will find discount information under the description for this book. The book is usually available at online sites at a discount.

Software:


R is a free software environment for statistical computing and graphics. It runs on a wide variety of UNIX platforms, Windows and MacOS. To download R, please visit the R project home pagefor more information, and choose your preferred CRAN mirror through the CRAN (Comprehensive R Archive Network) link.

Links