Logo

Probability: Theory and Examples

Large book cover: Probability: Theory and Examples

Probability: Theory and Examples
by

Publisher: Cambridge University Press
ISBN/ASIN: 0521765390
ISBN-13: 9780521765398
Number of pages: 372

Description:
This book is an introduction to probability theory covering laws of large numbers, central limit theorems, random walks, martingales, Markov chains, ergodic theorems, and Brownian motion. It is a comprehensive treatment concentrating on the results that are the most useful for applications. Its philosophy is that the best way to learn probability is to see it in action.

Home page url

Download or read it online for free here:
Download link
(1.8MB, PDF)

Similar books

Book cover: Probability, Random Processes, and Ergodic PropertiesProbability, Random Processes, and Ergodic Properties
by - Springer
A self-contained treatment of the theory of probability, random processes. It is intended to lay theoretical foundations for measure and integration theory, and to develop the long term time average behavior of measurements made on random processes.
(14943 views)
Book cover: Almost None of the Theory of Stochastic ProcessesAlmost None of the Theory of Stochastic Processes
by - Carnegie Mellon University
Text for a second course in stochastic processes. It is assumed that you have had a first course on stochastic processes, using elementary probability theory. You will study stochastic processes within the framework of measure-theoretic probability.
(13026 views)
Book cover: Probability TheoryProbability Theory
by - New York University
These notes are based on a first year graduate course on Probability and Limit theorems given at Courant Institute of Mathematical Sciences. The text covers discrete time processes. A small amount of measure theory is included.
(19776 views)
Book cover: Probability Theory: The Logic of ScienceProbability Theory: The Logic of Science
by - Cambridge University Press
The book is addressed to readers familiar with applied mathematics at the advanced undergraduate level. The text is concerned with probability theory and all of its mathematics, but now viewed in a wider context than that of the standard textbooks.
(17010 views)