Probability: Theory and Examples (4th edition)

Probability: Theory and Examples (4th edition)

Rick Durrett, "Probability: Theory and Examples (4th edition)"
2010 | ISBN-10: 0521765390 | 438 pages | PDF | 2 MB

This classic introduction to probability theory for beginning graduate students covers 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, so there are 200 examples and 450 problems. The new edition begins with a short chapter on measure theory to orient readers new to the subject.

Alternate Link for Probability: Theory and Examples (4th edition).rar When above links are dead

Hello Respective Visitor!

Please Login or Create a FREE Account to gain accesss to hidden contents.


Would you like to leave your comment? Please Login to your account to leave comments. Don't have an account? You can create a free account now.