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Functional data analysis with r and matlab, Ramsay, J.o. Hooker, Giles Graves, Spencer


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Цена: 8384.00р.
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Автор: Ramsay, J.o. Hooker, Giles Graves, Spencer
Название:  Functional data analysis with r and matlab
ISBN: 9780387981840
Издательство: Springer
Классификация:



ISBN-10: 0387981845
Обложка/Формат: Paperback
Страницы: 214
Вес: 0.36 кг.
Дата издания: 01.08.2009
Серия: Use r!
Язык: English
Иллюстрации: Biography
Размер: 237 x 281 x 19
Читательская аудитория: Postgraduate, research & scholarly
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: Scientists often collect samples of curves and other functional observations, and develop models where parameters are also functions. This title provides computer code in both the R and Matlab languages for a set of data analyses that showcase functional data analysis techniques.


Theoretical Foundations of Functional Data Analysis, with an

Автор: Hsing Tailen
Название: Theoretical Foundations of Functional Data Analysis, with an
ISBN: 0470016914 ISBN-13(EAN): 9780470016916
Издательство: Wiley
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Цена: 10446.00 р.
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Описание: ?? Provides a concise but rigorous account of the theoretical background of FDA. ?? Introduces topics in various areas of mathematics, probability and statistics from the perspective of FDA. ?? Presents a systematic exposition of the fundamental statistical issues in FDA.

Functional and Shape Data Analysis

Автор: Srivastava
Название: Functional and Shape Data Analysis
ISBN: 149394018X ISBN-13(EAN): 9781493940189
Издательство: Springer
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Цена: 11878.00 р.
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Описание: This textbook for courses on function data analysis and shape data analysis describes how to define, compare, and mathematically represent shapes, with a focus on statistical modeling and inference. It is aimed at graduate students in analysis in statistics, engineering, applied mathematics, neuroscience, biology, bioinformatics, and other related areas. The interdisciplinary nature of the broad range of ideas covered—from introductory theory to algorithmic implementations and some statistical case studies—is meant to familiarize graduate students with an array of tools that are relevant in developing computational solutions for shape and related analyses. These tools, gleaned from geometry, algebra, statistics, and computational science, are traditionally scattered across different courses, departments, and disciplines; Functional and Shape Data Analysis offers a unified, comprehensive solution by integrating the registration problem into shape analysis, better preparing graduate students for handling future scientific challenges.Recently, a data-driven and application-oriented focus on shape analysis has been trending. This text offers a self-contained treatment of this new generation of methods in shape analysis of curves. Its main focus is shape analysis of functions and curves—in one, two, and higher dimensions—both closed and open. It develops elegant Riemannian frameworks that provide both quantification of shape differences and registration of curves at the same time. Additionally, these methods are used for statistically summarizing given curve data, performing dimension reduction, and modeling observed variability. It is recommended that the reader have a background in calculus, linear algebra, numerical analysis, and computation.

Functional Analysis in Computational Mathematics / An Introduction

Автор: Lebedev V.I.
Название: Functional Analysis in Computational Mathematics / An Introduction
ISBN: 0817638881 ISBN-13(EAN): 9780817638887
Издательство: Springer
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Цена: 10901.00 р.
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Описание: Presents the basics of functional analysis, as well as elements of variational equations (on the basis of bi-linear forms), including the Vishik-Lax-Milgram theorem and of generalized solutions of eliptic problems. Sobolev spaces and embedding theorems are introduced.

Beginning Functional Analysis

Автор: Saxe Karen
Название: Beginning Functional Analysis
ISBN: 0387952241 ISBN-13(EAN): 9780387952246
Издательство: Springer
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Цена: 8384.00 р.
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Описание: The unifying approach of functional analysis is to view functions as points in abstract vector space and the differential and integral operators as linear transformations on these spaces.

Functional Analysis for Probability and Stochastic Processes: An Introduction

Автор: Adam Bobrowski
Название: Functional Analysis for Probability and Stochastic Processes: An Introduction
ISBN: 0521831660 ISBN-13(EAN): 9780521831666
Издательство: Cambridge Academ
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Цена: 23285.00 р.
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Описание: This text is designed both for students of probability and stochastic processes, and for students of functional analysis. Numerous standard and non-standard examples and exercises make it suitable for both a textbook for a course as well as for self-study.

Linear Functional Analysis

Автор: Rynne
Название: Linear Functional Analysis
ISBN: 1848000049 ISBN-13(EAN): 9781848000049
Издательство: Springer
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Цена: 4884.00 р.
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Описание: This introduction to the ideas and methods of linear functional analysis shows how familiar and useful concepts from finite-dimensional linear algebra can be extended or generalized to infinite-dimensional spaces.

Functional Analysis

Автор: Peter D. Lax
Название: Functional Analysis
ISBN: 0471556041 ISBN-13(EAN): 9780471556046
Издательство: Wiley
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Цена: 17258.00 р.
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Описание: Includes sections on the spectral resolution and spectral representation of self adjoint operators, invariant subspaces, strongly continuous one-parameter semigroups, the index of operators, the trace formula of Lidskii, the Fredholm determinant, and more.

Wavelets in Functional Data Analysis

Автор: Pedro A. Morettin; Alu?sio Pinheiro; Brani Vidakov
Название: Wavelets in Functional Data Analysis
ISBN: 3319596225 ISBN-13(EAN): 9783319596228
Издательство: Springer
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Цена: 6986.00 р.
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Описание: This book presents wavelets in functional data analysis, offering a glimpse of problems in which they can be applied, including tumor analysis, functional magnetic resonance and meteorological data.


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