Join thousands of book lovers
Sign up to our newsletter and receive discounts and inspiration for your next reading experience.
By signing up, you agree to our Privacy Policy.You can, at any time, unsubscribe from our newsletters.
Stable Non-Gaussian Random Processes
- Stochastic Models with Infinite Variance
part of the Stochastic Modeling Series series
- Binding:
- Hardback
- Pages:
- 654
- Published:
- May 31, 1994
- Dimensions:
- 164x245x45 mm.
- Weight:
- 1066 g.
Delivery:
2-3 weeks
Expected delivery: December 20, 2024
Extended return policy to January 30, 2025
About Gennady (Cornell University Samoradnitsky
View all books by Gennady (Cornell University SamoradnitskyDescription of Stable Non-Gaussian Random Processes
This book presents similarity between Gaussian and non-Gaussian stable multivariate distributions and introduces the one-dimensional stable random variables. It discusses the most basic sample path properties of stable processes, namely sample boundedness and continuity.
User ratings of Stable Non-Gaussian Random Processes
Rate this book
In order to rate this book you must be logged in.Others also bought..
Find similar books
The book Stable Non-Gaussian Random Processes can be found in the following categories:
You can, at any time, unsubscribe from our newsletters.
© 2024 Tales
All packages are shipped from our warehouse in the UK.
Company address: Esromgade 15, 3. - 2200 - DK
Registered company number: DK43351621
