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Can I read Stable Non-Gaussian Random Processes: Stochastic Models with Infinite Variance (Stochastic Modeling Series) on EtoBox?
Stable Non-Gaussian Random Processes: Stochastic Models with Infinite Variance (Stochastic Modeling Series) by Gennady Samorodnitsky, Murad S. Taqqu is a nonfiction available to read on EtoBox.
What is Stable Non-Gaussian Random Processes: Stochastic Models with Infinite Variance (Stochastic Modeling Series) about?
This book serves as a standard reference, making this area accessible not only to researchers in probability and statistics, but also to graduate students and practitioners. The book assumes only a first-year graduate course in probability. Each chapter begins with a brief overview and concludes with a wide range of exercises at varying levels of difficulty. The authors supply detailed hints for the more challenging problems, and cover many advances made in recent years.
Who reads Stable Non-Gaussian Random Processes: Stochastic Models with Infinite Variance (Stochastic Modeling Series)?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Gennady Samorodnitsky, Murad S. Taqqu
- Publisher
- Chapman and Hall/CRC
- Published
- 1994
- Language
- EN
- ISBN
- 9780203738818
- Category
- nonfiction
- Subjects
- Mathematics, Stem
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