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Stable Non-Gaussian Self-Similar Processes with Stationary Increments
Stable Non-Gaussian Self-Similar Processes with Stationary Increments
Knygos.lt klubas Knygos.lt nariams
101,23 €
-15%
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119,09 €
  • Išsiųsime per 12–18 d.d.
This book provides a self-contained presentation on the structure of a large class of stable processes, known as self-similar mixed moving averages. The authors present a way to describe and classify these processes by relating them to so-called deterministic flows. The first sections in the book review random variables, stochastic processes, and integrals, moving on to rigidity and flows, and finally ending with mixed moving averages and self-similarity. In-depth appendices are also included.…
  • Leidėjas:
  • ISBN-10: 3319623303
  • ISBN-13: 9783319623306
  • Formatas: 15.6 x 23.4 x 0.8 cm, minkšti viršeliai
  • Kalba: Anglų

Stable Non-Gaussian Self-Similar Processes with Stationary Increments (el. knyga) (skaityta knyga) | knygos.lt

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This book provides a self-contained presentation on the structure of a large class of stable processes, known as self-similar mixed moving averages. The authors present a way to describe and classify these processes by relating them to so-called deterministic flows. The first sections in the book review random variables, stochastic processes, and integrals, moving on to rigidity and flows, and finally ending with mixed moving averages and self-similarity. In-depth appendices are also included.

This book is aimed at graduate students and researchers working in probability theory and statistics.

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  • Autorius: Vladas Pipiras
  • Leidėjas:
  • ISBN-10: 3319623303
  • ISBN-13: 9783319623306
  • Formatas: 15.6 x 23.4 x 0.8 cm, minkšti viršeliai
  • Kalba: Anglų

This book provides a self-contained presentation on the structure of a large class of stable processes, known as self-similar mixed moving averages. The authors present a way to describe and classify these processes by relating them to so-called deterministic flows. The first sections in the book review random variables, stochastic processes, and integrals, moving on to rigidity and flows, and finally ending with mixed moving averages and self-similarity. In-depth appendices are also included.

This book is aimed at graduate students and researchers working in probability theory and statistics.

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