Mathematics 564

Theory of Probability

Fall 2009

Resource Page

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**Textbooks**

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*Introduction to
Probability Theory and Its Applications (Volume I and II)* by William Feller

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*Probability and Statistics *by
Morris H. DeGroot and Mark J. Schervish

*Probability and Random Processes*by Geoffrey Grimmett and David Stirzaker*Introduction to Probability*by Charles M. Grinstead and J. Laurie Snell*Probability and Statistical Inference*(7th Edition) by Robert V Hogg and Elliot A. Tanis*Mathematical Statistics and Data Analysis*(3rd edition) by John A. Rice*A First Course in Probability*by Sheldon Ross

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**R Manuals and Guides**

**Downloads and web interfaces**

- The R
Project for Statistical Computing. R, free
statistical analysis package developed by Robert Gentleman and Ross Ihaka,
is a language and environment for statistical computing and graphics. It
is a GNU project which is similar to the
S language and environment which was developed at Bell Laboratories
(formerly AT&T, now Lucent Technologies) by John Chambers and
colleagues. R can be considered as a different implementation of S.
- General Rweb
Interface. Rweb is a Web based interface to
R that takes the submitted code, runs R on the code (in batch mode), and
returns the output (printed and graphical).

**Manuals**

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- SimpleR:
Using R for Introductory Statistics by John Verzani.
- R for
Beginners by Emmanuel Paradis.
- The R Guide
by W. J. Owen

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**Handouts**

- R as a basic
statistical calculator for obtaining
*p*-values and plotting probability distributions (6 page pdf file) by Bruce Walsh. - R reference card by Jonathan Baron.
- R reference card by Tom Short.

**On-line Resources**

- Probability by Surprise by Susan Holmes
- GameTheory.net
- Java Applets provided by James W. Hardin
- Java applets for power and
sample size by Russ Lenth
- Web Interface for Statistics Education at Claremont Graduate University

**Table**