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Fourier Analysis of Time Series: An Introduction Peter Bloomfield 1976
US $20.24
ApproximatelyRM 85.48
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Condition:
“Very Good Condition. Cover and pages inside in great shape with no marks, folds, or tears. There is ”... Read moreabout condition
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Located in: Oklahoma City, Oklahoma, United States
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eBay item number:274299689972
Item specifics
- Condition
- Very Good
- Seller Notes
- Modified Item
- No
- Topic
- Mathematics
- Subject
- Science & Technology
- Features
- Dust Jacket
- ISBN
- 9780471082569
About this product
Product Identifiers
Publisher
Wiley & Sons, Incorporated, John
ISBN-10
0471082562
ISBN-13
9780471082569
eBay Product ID (ePID)
370745
Product Key Features
Number of Pages
272 Pages
Language
English
Publication Name
Fourier Analysis of Time Series : an Introduction
Publication Year
1976
Subject
Probability & Statistics / Time Series, Mathematical Analysis
Type
Textbook
Subject Area
Mathematics
Series
Wiley Series in Probability and Statistics-Applied Probability and Statistics Section Ser.
Format
Hardcover
Dimensions
Item Height
0.9 in
Item Weight
21.3 Oz
Item Length
9.5 in
Item Width
6.3 in
Additional Product Features
Intended Audience
Scholarly & Professional
LCCN
75-034294
Dewey Edition
21
Series Volume Number
159
Illustrated
Yes
Dewey Decimal
519.5/5
Table Of Content
Introduction. The Search for Periodicity. Harmonic Analysis. The Fast Fourier Transform. Examples of Harmonic Analysis. Complex Demodulation. The Spectrum. Some Stationary Time Series Theory. Analysis of Multiple Series. Further Topics.
Synopsis
A new, revised edition of a yet unrivaled work on frequency domain analysis Long recognized for his unique focus on frequency domain methods for the analysis of time series data as well as for his applied, easy-to-understand approach, Peter Bloomfield brings his well-known 1976 work thoroughly up to date. With a minimum of mathematics and an engaging, highly rewarding style, Bloomfield provides in-depth discussions of harmonic regression, harmonic analysis, complex demodulation, and spectrum analysis. All methods are clearly illustrated using examples of specific data sets, while ample exercises acquaint readers with Fourier analysis and its applications. The Second Edition: * Devotes an entire chapter to complex demodulation * Treats harmonic regression in two separate chapters * Features a more succinct discussion of the fast Fourier transform * Uses S-PLUS commands (replacing FORTRAN) to accommodate programming needs and graphic flexibility * Includes Web addresses for all time series data used in the examples An invaluable reference for statisticians seeking to expand their understanding of frequency domain methods, Fourier Analysis of Time Series, Second Edition also provides easy access to sophisticated statistical tools for scientists and professionals in such areas as atmospheric science, oceanography, climatology, and biology.
LC Classification Number
QA280
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