**Probability and Mathematical Statistics**

by Prasanna Sahoo

**Publisher**: University of Louisville 2008**Number of pages**: 703

**Description**:

This book is an introduction to probability and mathematical statistics intended for students already having some elementary mathematical background. It is intended for a one-year junior or senior level undergraduate or beginning graduate level course in probability theory and mathematical statistics.

Download or read it online for free here:

**Download link**

(3.9MB, PDF)

## Similar books

**Probability and Statistics: A Course for Physicists and Engineers**

by

**Arak M. Mathai, Hans J. Haubold**-

**De Gruyter Open**

This is an introduction to concepts of probability theory, probability distributions relevant in the applied sciences, as well as basics of sampling distributions, estimation and hypothesis testing. Designed for students in engineering and physics.

(

**7600**views)

**Stochastic Integration and Stochastic Differential Equations**

by

**Klaus Bichteler**-

**University of Texas**

Written for graduate students of mathematics, physics, electrical engineering, and finance. The students are expected to know the basics of point set topology up to Tychonoff's theorem, general integration theory, and some functional analysis.

(

**13756**views)

**Lectures on Noise Sensitivity and Percolation**

by

**Christophe Garban, Jeffrey E. Steif**-

**arXiv**

The goal of this set of lectures is to combine two seemingly unrelated topics: (1) The study of Boolean functions, a field particularly active in computer science; (2) Some models in statistical physics, mostly percolation.

(

**11350**views)

**Topics in Random Matrix Theory**

by

**Terence Tao**

This is a textbook for a graduate course on random matrix theory, inspired by recent developments in the subject. This text focuses on foundational topics in random matrix theory upon which the most recent work has been based.

(

**13420**views)