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: Introduction to ProbabilityIntroduction to Probability
by - University of Utah
This is a first course in undergraduate probability. It covers standard material such as combinatorial problems, random variables, distributions, independence, conditional probability, expected value and moments, law of large numbers, etc.
(13344 views)
Book cover: Introduction to ProbabilityIntroduction to Probability
by - 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.
(11995 views)
Book cover: A History Of The Mathematical Theory Of ProbabilityA History Of The Mathematical Theory Of Probability
by - Kessinger Publishing, LLC
History of the probability theory from the time of Pascal to that of Laplace (1865). Todhunter gave a close account of the difficulties involved and the solutions offered by each investigator. His studies were thorough and fully documented.
(20281 views)
Book cover: Probability Theory and Stochastic Processes with ApplicationsProbability Theory and Stochastic Processes with Applications
by - Overseas Press
This text covers material of a basic probability course, discrete stochastic processes including Martingale theory, continuous time stochastic processes like Brownian motion and stochastic differential equations, estimation theory, and more.
(12538 views)