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Stochastic Climate Models, Peter Imkeller; Jin-Song von Storch


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Автор: Peter Imkeller; Jin-Song von Storch
Название:  Stochastic Climate Models
ISBN: 9783034895040
Издательство: Springer
Классификация:

ISBN-10: 3034895046
Обложка/Формат: Paperback
Страницы: 398
Вес: 0.60 кг.
Дата издания: 23.10.2012
Серия: Progress in Probability
Язык: English
Издание: Softcover reprint of
Иллюстрации: 27 black & white illustrations, biography
Размер: 158 x 234 x 23
Читательская аудитория: Professional & vocational
Основная тема: Mathematics
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: A collection of articles written by mathematicians and physicists, designed to describe the state of the art in climate models with stochastic input. Mathematicians will benefit from a survey of simple models, while physicists will encounter mathematically relevant techniques at work.


Stochastic Processes

Автор: Gallager
Название: Stochastic Processes
ISBN: 1107039754 ISBN-13(EAN): 9781107039759
Издательство: Cambridge Academ
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Цена: 11246.00 р.
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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.

Analytically Tractable Stochastic Stock Price Models

Автор: Gulisashvili
Название: Analytically Tractable Stochastic Stock Price Models
ISBN: 3642312136 ISBN-13(EAN): 9783642312137
Издательство: Springer
Цена: 5576.00 р. 7965.00 -30%
Наличие на складе: Есть (1 шт.)
Описание: For instance, in the Hull-White model the volatility process is a geometric Brownian motion, the Stein-Stein model uses an Ornstein-Uhlenbeck process as the stochastic volatility, and in the Heston model a Cox-Ingersoll-Ross process governs the behavior of the volatility.

Nonlinear and Stochastic Climate Dynamics

Автор: Franzke
Название: Nonlinear and Stochastic Climate Dynamics
ISBN: 110711814X ISBN-13(EAN): 9781107118140
Издательство: Cambridge Academ
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Цена: 24235.00 р.
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Описание: This edited volume presents the latest developments and current research questions in nonlinear and stochastic climate dynamics. It provides graduate students and researchers with a broad overview of the physical climate system and introduces powerful data analysis and modeling methods for climate scientists and applied mathematicians.

Stochastic Climate Theory

Автор: Serguei G. Dobrovolski
Название: Stochastic Climate Theory
ISBN: 354066310X ISBN-13(EAN): 9783540663102
Издательство: Springer
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Цена: 34799.00 р.
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Описание: This text describes the stochastic approach to the study of changes in the climate system. It summarizes the results of processing existing records of climatic parameters and appropriate theories - from random processes and Hasselmann`s "stochastic climate model theory" to recent results.

Stochastic Models for Structured Populations

Автор: Meleard Sylvie
Название: Stochastic Models for Structured Populations
ISBN: 3319217100 ISBN-13(EAN): 9783319217109
Издательство: Springer
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Цена: 5589.00 р.
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Описание: Stochastic Models for Structured Populations

Applied Linear Statistical Models with Student CD

Автор: Nachtsheim;Neter;Kutner
Название: Applied Linear Statistical Models with Student CD
ISBN: 0071122214 ISBN-13(EAN): 9780071122214
Издательство: McGraw-Hill
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Цена: 9265.00 р.
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Описание: "Applied Linear Statistical Models", 5e, is the long established leading authoritative text and reference on statistical modeling. For students in most any discipline where statistical analysis or interpretation is used, ALSM serves as the standard work. The text includes brief introductory and review material, and then proceeds through regression and modeling for the first half, and through ANOVA and Experimental Design in the second half. All topics are presented in a precise and clear style supported with solved examples, numbered formulae, graphic illustrations, and "Notes" to provide depth and statistical accuracy and precision. Applications used within the text and the hallmark problems, exercises, and projects are drawn from virtually all disciplines and fields providing motivation for students in virtually any college. The Fifth edition provides an increased use of computing and graphical analysis throughout, without sacrificing concepts or rigor. In general, the 5e uses larger data sets in examples and exercises, and where methods can be automated within software without loss of understanding, it is so done.

Stochastic Climate Theory

Автор: Serguei G. Dobrovolski
Название: Stochastic Climate Theory
ISBN: 364208558X ISBN-13(EAN): 9783642085581
Издательство: Springer
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Цена: 34799.00 р.
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Описание: This work summarizes the results of processing existing records of climatic parameters as well as appropriate theories: from the theory of random processes (based on the results of Kolmogorov and Yaglom) and Hasselmann`s "stochastic climate model theory" to recently obtained results.

Stochastic methods

Автор: Gardiner, Crispin W.
Название: Stochastic methods
ISBN: 3540707123 ISBN-13(EAN): 9783540707127
Издательство: Springer
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Цена: 11179.00 р.
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Описание: In the third edition of this classic the chapter on quantum Marcov processes has been replaced by a chapter on numerical treatment of stochastic differential equations to make the book even more valuable for practitioners.

Doubly Stochastic Models for Volcanic Hazard Assessment at Campi Flegrei Caldera

Автор: Bevilacqua
Название: Doubly Stochastic Models for Volcanic Hazard Assessment at Campi Flegrei Caldera
ISBN: 887642556X ISBN-13(EAN): 9788876425561
Издательство: Springer
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Цена: 3075.00 р.
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Описание: This study provides innovative mathematical models for assessing the eruption probability and associated volcanic hazards, and applies them to the Campi Flegrei caldera in Italy.

Stochastic Integral Equations and Rainfall-Runoff Models

Автор: Theodore V. Hromadka II; Robert J. Whitley
Название: Stochastic Integral Equations and Rainfall-Runoff Models
ISBN: 3642493114 ISBN-13(EAN): 9783642493119
Издательство: Springer
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Цена: 15672.00 р.
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Описание: The review indicates that there is still no deterministic solution to the rainfall-runoff modeling problem, and that the error in runoff estimates produced from rainfall-runoff models is of such magnitude that they should not be simply ignored.

Stochastic Models with Power-Law Tails

Автор: Buraczewski
Название: Stochastic Models with Power-Law Tails
ISBN: 3319296787 ISBN-13(EAN): 9783319296784
Издательство: Springer
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Цена: 16769.00 р.
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Описание: In this monograph the authors give a systematic approach to theprobabilistic properties of the fixed point equation X=AX+B. Aprobabilistic study of the stochastic recurrence equation X_t=A_tX_{t-1}+B_tfor real- and matrix-valued random variables A_t, where (A_t,B_t) constitute aniid sequence, is provided. The classical theory for these equations, includingthe existence and uniqueness of a stationary solution, the tail behavior withspecial emphasis on power law behavior, moments and support, is presented. Theauthors collect recent asymptotic results on extremes, point processes, partialsums (central limit theory with special emphasis on infinite variance stablelimit theory), large deviations, in the univariate and multivariate cases, andthey further touch on the related topics of smoothing transforms, regularlyvarying sequences and random iterative systems.The text gives an introduction to the Kesten-Goldie theory forstochastic recurrence equations of the type X_t=A_tX_{t-1}+B_t. It provides the classical results ofKesten, Goldie, Guivarc'h, and others, and gives an overview of recentresults on the topic. It presents the state-of-the-art results in the field ofaffine stochastic recurrence equations and shows relations with non-affinerecursions and multivariate regular variation.

Comparison Methods for Stochastic Models & Risks

Автор: Muller
Название: Comparison Methods for Stochastic Models & Risks
ISBN: 0471494461 ISBN-13(EAN): 9780471494461
Издательство: Wiley
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Цена: 22960.00 р.
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Описание: This work covers stochastic order relations, which provide insight into the behaviour of complex stochastic (random) systems and enables the user to collect comparative data. Application areas include queuing systems, actuarial and financial risk, decision making, and stochastic simulation.


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