Probability: Theory and Examples
Overview & Synopsis
This book is a classic 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, so there are 200 examples and 450 problems.
Indexed from repository: FreeComputerBooks.com
(
freecomputerbooks.com)
Keyboard Shortcuts:
← / → for pages • + / - for zoom • 0 to fit width
Powered by Mozilla PDF.js v3.11
Document Information
| Document Title | Probability: Theory and Examples |
|---|---|
| Author / Organization | Rick Durrett |
| Subject & Discipline | Probability, Stochastic Process, Queueing Theory, etc., Statistics and SAS Programming, Financial Mathematics and Engineering, Computational and Algorithmic Mathematics, Combinatorics and Game Theory |
| Categories | Probability, Stochastic Process, Queueing Theory, etc. |
| Publication Year | 2019 |
| ISBN | 978-1108473682 |
| Resource Verification | Verification pending |
| Original Host Website |
FreeComputerBooks.com
(freecomputerbooks.com)
|
| File Format | application/pdf (Portable Document Format) |
| Language | ENGLISH |
| Catalog ID | DOC-113109 |
| Original Source Link | Visit Source Page on freecomputerbooks.com » |
Commercial / Print Edition
Prefer a Physical Book or Kindle Edition?
Probability: Theory and Examples • Print Edition
As an Amazon Associate, MainReads earns from qualifying purchases.