Modelling Coastal And Marine Processes (2Nd Edition), Dyke Phil

Автор: Gallager
Название: Stochastic Processes
ISBN: 1107039754 ISBN-13(EAN): 9781107039759
Издательство: Cambridge Academ
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Цена: 11246.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This definitive textbook provides a solid introduction to stochastic processes, covering both theory and applications. It is written by one of the world`s leading information theorists, evolving over twenty years of graduate classroom teaching, and is accompanied by over 300 exercises, with online solutions for instructors.

Автор: Parzen, Emanuel
Название: Stochastic processes
ISBN: 0898714419 ISBN-13(EAN): 9780898714418
Издательство: Mare Nostrum (Eurospan)
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Цена: 9656.00 р.
Наличие на складе: Нет в наличии.

Описание: This introductory textbook explains how and why probability models are applied to scientific fields such as medicine, biology, physics, oceanography, economics, and psychology to solve problems about stochastic processes. It does not just show how a problem is solved but explains why by formulating questions and first steps in the solutions.

Автор: Dyke Phil
Название: Modelling Coastal And Marine Processes (2Nd Edition)
ISBN: 1783267704 ISBN-13(EAN): 9781783267705
Издательство: World Scientific Publishing
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Цена: 10296.00 р.
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Описание: Modeling is now an accepted part in the understanding, prediction and planning of environmental strategies. Perfect for undergraduate students and non-specialist readers, Modeling Coastal and Marine Processes (2nd Edition) offers an introduction into how coastal and marine models are constructed and used.

Автор: Cont, Tankov
Название: Financial modelling with jump processes
ISBN: 1584884134 ISBN-13(EAN): 9781584884132
Издательство: Taylor&Francis
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Цена: 17609.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Presents an overview of the theoretical, numerical, and empirical aspects of using jump processes in financial modeling. This book demonstrates that the concepts and tools necessary for understanding and implementing models with jumps can be more intuitive that those involved in the Black Scholes and diffusion models.