Mathematical Gnostics Advanced Data Analysis for Research and Engineering Practice, Pavel Kovanic

Автор: Prieto-Rumeau Tomas Et Al
Название: Selected Topics On Continuous-Time Controlled Markov Chains And Markov Games
ISBN: 1848168489 ISBN-13(EAN): 9781848168480
Издательство: World Scientific Publishing
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Цена: 96090.00 T
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Описание: Deals with continuous-time controlled Markov chains and Markov games. This book proposes assumptions on the control and game models that are easily verifiable (and verified) in practice. It also analyzes algorithmic and computational issues.

Автор: Bajorski, Peter
Название: Statistics for imaging, optics, and photonics
ISBN: 0470509457 ISBN-13(EAN): 9780470509456
Издательство: Wiley
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Цена: 93930.00 T
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Описание: This is the first book fully devoted to the implementation of statistical methods in imaging, optics, and photonics applications with a concentration on statistical inference. The text contains a wide range of relevant statistical methods, including a review of the fundamentals of statistics and expanding into multivariate techniques.

Автор: Reich
Название: Probabilistic Forecasting and Bayesian Data Assimilation
ISBN: 1107069394 ISBN-13(EAN): 9781107069398
Издательство: Cambridge Academ
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Цена: 128830.00 T
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Описание: This book focuses on the Bayesian approach to data assimilation, outlining the subject`s key ideas and concepts, and explaining how to implement specific data assimilation algorithms. It is an ideal introduction for graduate students in applied mathematics, computer science, engineering, geoscience and other emerging application areas.

Автор: Reich
Название: Probabilistic Forecasting and Bayesian Data Assimilation
ISBN: 1107663911 ISBN-13(EAN): 9781107663916
Издательство: Cambridge Academ
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Цена: 49630.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book focuses on the Bayesian approach to data assimilation, outlining the subject`s key ideas and concepts, and explaining how to implement specific data assimilation algorithms. It is an ideal introduction for graduate students in applied mathematics, computer science, engineering, geoscience and other emerging application areas.

Автор: Glen Gowan; Siegmund Brandt
Название: Data Analysis
ISBN: 1461271479 ISBN-13(EAN): 9781461271475
Издательство: Springer
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Цена: 74010.00 T
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Описание: Bridging the gap between statistical theory and physical experiment, this is a thorough introduction to the statistical methods used in the experimental physical sciences and to the numerical methods used to implement them.

Автор: Giovanni Naldi; Thierry Nieus
Название: Mathematical and Theoretical Neuroscience
ISBN: 3319682962 ISBN-13(EAN): 9783319682969
Издательство: Springer
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Цена: 111790.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This volume gathers contributions from theoretical, experimental and computational researchers who are working on various topics in theoretical/computational/mathematical neuroscience. The focus is on mathematical modeling, analytical and numerical topics, and statistical analysis in neuroscience with applications.

Автор: Dudley
Название: Uniform Central Limit Theorems
ISBN: 0521738415 ISBN-13(EAN): 9780521738415
Издательство: Cambridge Academ
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Цена: 51750.00 T
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Описание: This second edition of a classic work has been considerably expanded and revised, now with complete proofs of all results, including several new theorems not included in the first edition, such as Talagrand`s generic chaining approach to boundedness of Gaussian processes and Gine and Zinn`s characterization of uniform Donsker classes.

Автор: Pisier
Название: Martingales in Banach Spaces
ISBN: 1107137241 ISBN-13(EAN): 9781107137240
Издательство: Cambridge Academ
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Цена: 66530.00 T
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Описание: Martingales arise in many areas of probability theory. This book focuses on their applications to the geometry of Banach spaces and discusses the interplay of Banach space valued martingales with various other areas of analysis. It is accessible to graduates with a basic knowledge of real and complex analysis.

Автор: Dudley
Название: Uniform Central Limit Theorems
ISBN: 0521498848 ISBN-13(EAN): 9780521498845
Издательство: Cambridge Academ
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Цена: 98210.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This second edition of a classic work has been considerably expanded and revised, now with complete proofs of all results, including several new theorems not included in the first edition, such as Talagrand`s generic chaining approach to boundedness of Gaussian processes and Gine and Zinn`s characterization of uniform Donsker classes.

Автор: Nikolai Nikolski
Название: Hardy Spaces
ISBN: 1107184541 ISBN-13(EAN): 9781107184541
Издательство: Cambridge Academ
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Цена: 61240.00 T
Наличие на складе: Невозможна поставка.
Описание: Designed for beginning graduate students, this book introduces and develops the classical results on Hardy spaces and applies them to fundamental problems in modern analysis. With solved exercises, short surveys of recent developments, and engaging accounts of the field`s main contributors, this book is the ideal source on Hardy spaces.

Автор: Vasily Vasyunin, Alexander Volberg
Название: The Bellman Function Technique in Harmonic Analysis
ISBN: 1108486894 ISBN-13(EAN): 9781108486897
Издательство: Cambridge Academ
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Цена: 76030.00 T
Наличие на складе: Поставка под заказ.
Описание: From two leading experts, this is the first book on the Bellman function method and its applications to many topics in probability and harmonic analysis, and a reference for graduate students and researchers. Beginning with basic concepts, the examples increase in sophistication, culminating with Calderon-Zygmund operators and end-point estimates.

Автор: Donald B. Percival, Andrew T. Walden
Название: Spectral Analysis for Univariate Time Series
ISBN: 1107028140 ISBN-13(EAN): 9781107028142
Издательство: Cambridge Academ
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Цена: 97150.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Spectral analysis is an important technique for interpreting time series data. This book uses the R language and real world examples to show data analysts interested in time series in the environmental, engineering and physical sciences how to bridge the gap between the statistical theory behind spectral analysis and its application to actual data.