**Introduction to Probability and Statistics Using R**

by G. Jay Kerns

2010**ISBN/ASIN**: 0557249791**ISBN-13**: 9780557249794**Number of pages**: 412

**Description**:

This is a textbook for an undergraduate course in probability and statistics. The approximate prerequisites are two or three semesters of calculus and some linear algebra. Students attending the class include mathematics, engineering, and computer science majors.

Download or read it online for free here:

**Download link**

(multiple formats)

## Similar books

**Inverse Problem Theory and Methods for Model Parameter Estimation**

by

**Albert Tarantola**-

**SIAM**

The first part deals with discrete inverse problems with a finite number of parameters, while the second part deals with general inverse problems. The book for scientists and applied mathematicians facing the interpretation of experimental data.

(

**11370**views)

**Correlation and Causality**

by

**David A. Kenny**-

**John Wiley & Sons Inc**

This text is a general introduction to the topic of structural analysis. It presumes no previous acquaintance with causal analysis. It is general because it covers all the standard, as well as a few nonstandard, statistical procedures.

(

**11066**views)

**Non-Uniform Random Variate Generation**

by

**Luc Devroye**-

**Springer**

The book on small field on the crossroads of statistics, operations research and computer science. The applications of random number generators are wide and varied. The study of non-uniform random variates is precisely the subject area of the book.

(

**10107**views)

**A defense of Columbo: A multilevel introduction to probabilistic reasoning**

by

**G. D'Agostini**-

**arXiv**

Triggered by a recent interesting article on the too frequent incorrect use of probabilistic evidence in courts, the author introduces the basic concepts of probabilistic inference with a toy model, and discusses several important issues.

(

**11095**views)