Routledge
Stable Non-Gaussian Random Processes (English, Gennady Samoradnitsky)
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Specifications
| Publisher | Routledge |
| Language | English |
| ISBN-13 | 9780412051715 |
| ISBN-10 | 0412051710 |
| Author | Gennady Samoradnitsky |
Product Description
Here on GlowMirror, you'll find Stable Non-Gaussian Random Processes filed under Routledge -- everything you need to know is covered below.
About the Book
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.
ISBN: 9780412051715
Book Insights
What You'll Learn
- ·In-depth exploration of topics covered in Stable Non-Gaussian Random Processes
- ·Key concepts explained with clarity and practical examples
- ·Insights valuable for anyone studying or working in Routledge
Who Should Read This
Students and professionals interested in Routledge, as well as general readers looking to expand their knowledge.
Key Highlights
- ·Brand new physical book delivered across India
- ·15-day hassle-free return policy
Frequently Asked Questions
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Is Stable Non-Gaussian Random Processes available in English?
Stable Non-Gaussian Random Processes is available in English on GlowMirror.
Who is the author of Stable Non-Gaussian Random Processes?
Stable Non-Gaussian Random Processes is authored by Gennady Samoradnitsky.
Who published Stable Non-Gaussian Random Processes?
Stable Non-Gaussian Random Processes is published by Routledge.
How many pages does Stable Non-Gaussian Random Processes have?
Page count information for Stable Non-Gaussian Random Processes is available in the specifications section of this page.
How long does it take to read Stable Non-Gaussian Random Processes?
At an average reading speed of 250 words per minute, reading Stable Non-Gaussian Random Processes takes a few hours to a few days depending on reading pace.
What is Stable Non-Gaussian Random Processes about?
About the Book
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.
ISBN: 978...
Is Stable Non-Gaussian Random Processes suitable for beginners?
Whether Stable Non-Gaussian Random Processes is suitable for beginners depends on your background in Routledge. Review the product description and specifications above for details on the target audience and difficulty level.
What edition is Stable Non-Gaussian Random Processes?
Stable Non-Gaussian Random Processes is from the Routledge edition/year. Check the specifications section for full edition details.
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