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David R. Brillinger Time Series (Paperback) (UK IMPORT)
Rarewaves
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- Book Title
- Time Series
- Title
- Time Series
- Subtitle
- Data Analysis and Theory
- EAN
- 9780898715019
- ISBN
- 9780898715019
- Genre
- Science Nature & Math
- Release Date
- 09/01/2001
- Release Year
- 2001
- Country/Region of Manufacture
- US
- Subject Area
- Mathematics
- Publication Name
- Time Series : Data Analysis and Theory
- Publisher
- Society for Industrial AND Applied Mathematics
- Item Length
- 9 in
- Subject
- Probability & Statistics / General, Transformations, Probability & Statistics / Time Series
- Publication Year
- 2001
- Series
- Classics in Applied Mathematics Ser.
- Type
- Textbook
- Format
- Trade Paperback
- Language
- English
- Item Height
- 1.1 in
- Item Weight
- 25.5 Oz
- Item Width
- 6 in
- Number of Pages
- 560 Pages
關於產品
Product Identifiers
Publisher
Society for Industrial AND Applied Mathematics
ISBN-10
0898715016
ISBN-13
9780898715019
eBay Product ID (ePID)
1889600
Product Key Features
Number of Pages
560 Pages
Publication Name
Time Series : Data Analysis and Theory
Language
English
Publication Year
2001
Subject
Probability & Statistics / General, Transformations, Probability & Statistics / Time Series
Type
Textbook
Subject Area
Mathematics
Series
Classics in Applied Mathematics Ser.
Format
Trade Paperback
Dimensions
Item Height
1.1 in
Item Weight
25.5 Oz
Item Length
9 in
Item Width
6 in
Additional Product Features
Intended Audience
Scholarly & Professional
LCCN
2001-034170
Reviews
‘Intended for students and researchers, this text employs basic techniques of univariate and multivariate statistics for the analysis of time series and signals. It covers a broad collection of theorems. The techniques are illustrated by data analyses and are discussed both heuristically and formally to serve both the applied and the theoretical worker.’IEEE Signal Processing Magazine, 'Intended for students and researchers, this text employs basic techniques of univariate and multivariate statistics for the analysis of time series and signals. It covers a broad collection of theorems. The techniques are illustrated by data analyses and are discussed both heuristically and formally to serve both the applied and the theoretical worker.' IEEE Signal Processing Magazine, 'Intended for students and researchers, this text employs basic techniques of univariate and multivariate statistics for the analysis of time series and signals. It covers a broad collection of theorems. The techniques are illustrated by data analyses and are discussed both heuristically and formally to serve both the applied and the theoretical worker.'IEEE Signal Processing Magazine
Dewey Edition
20
Series Volume Number
Vol. 36
Illustrated
Yes
Dewey Decimal
519.5/5
Table Of Content
Preface to the Classics Edition Preface to the Expanded Edition Preface to the First Edition Chapter 1: The Nature of Time Series and Their Frequency Analysis Chapter 2: Foundations Chapter 3: Analytic Properties of Fourier Transforms and Complex Matrices Chapter 4: Stochastic Properties of Finite Fourier Transforms Chapter 5: The Estimation of Power Spectra Chapter 6: Analysis of a Linear Time Invariant Relation Between a Stochastic Series and Several Deterministic Series Chapter 7: Estimating the Second-Order Spectra of Vector-Valued Series Chapter 8: Analysis of a Linear Time Invariant Relation Between Two Vector-Valued Stochastic Series Chapter 9: Principal Components in the Frequency Domain Chapter 10: The Canonical Analysis of Time Series Proofs of Theorems References Notation Index Author Index Subject Index Addendum: Fourier Analysis of Stationary Processes.
Synopsis
Intended for students and researchers, this text employs basic techniques of univariate and multivariate statistics for the analysis of time series and signals. It provides a broad collection of theorems, placing the techniques on firm theoretical ground., Intended for students and researchers, this text employs basic techniques of univariate and multivariate statistics for the analysis of time series and signals. It provides a broad collection of theorems, placing the techniques on firm theoretical ground. The techniques, which are illustrated by data analyses, are discussed in both a heuristic and a formal manner, making the book useful for both the applied and the theoretical worker. An extensive set of original exercises is included. Time Series: Data Analysis and Theory takes the Fourier transform of a stretch of time series data as the basic quantity to work with and shows the power of that approach. It considers second- and higher-order parameters and estimates them equally, thereby handling non-Gaussian series and nonlinear systems directly. The included proofs, which are generally short, are based on cumulants.
LC Classification Number
QA280.B74 2001
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