**Introduction to Probability**

by Davar Khoshnevisan, Firas Rassoul-Agha

**Publisher**: University of Utah 2012**Number of pages**: 269

**Description**:

This is a first course in undergraduate probability. It requires a solid knowledge of Calculus (I, II, III), and covers standard material such as combinatorial problems, random variables, distributions, independence, conditional probability, expected value and moments, law of large numbers, and the central limit theorem.

Download or read it online for free here:

**Download link**

(3.3MB, PDF)

## Similar books

**Mathematical Foundations of Probability Theory**

by

**Gane Samb Lo**-

**arXiv.org**

The fundamental aspects of Probability Theory are presented from a pure mathematical view based on Measure Theory. Such an approach places Probability Theory in its natural frame of Functional Analysis and offers a basis towards Statistics Theory.

(

**1993**views)

**Introduction to Probability**

by

**C. M. Grinstead, J. L. Snell**-

**American Mathematical Society**

The textbook for an introductory course in probability for students of mathematics, physics, engineering, social sciences, and computer science. It presents a thorough treatment of techniques necessary for a good understanding of the subject.

(

**58555**views)

**Probability: Theory and Examples**

by

**Rick Durrett**-

**Cambridge University Press**

An introduction to probability theory covering laws of large numbers, central limit theorems, random walks, martingales, Markov chains, ergodic theorems, and Brownian motion. It concentrates on the results that are the most useful for applications.

(

**9395**views)

**Introduction to Probability**

by

**Leif Mejlbro**-

**BookBoon**

In this book you will find the basic mathematics of probability theory that is needed by engineers and university students. Topics as Elementary probability calculus, density functions and stochastic processes are illustrated.

(

**7281**views)