Picture 1 of 11
Stock photo
Picture 1 of 11
Stock photo
Wiley Series in Probability and Statistics-Applied Probability and Statistics Section Ser.: Fourier Analysis of Time Series : An Introduction by Peter Bloomfield (1976, Hardcover)
8
8610elliott (1746)
100% positive feedback
Price:
US $15.00
ApproximatelyRM 63.69
+ $23.14 shipping
Returns:
30 days return. Buyer pays for return shipping. If you use an eBay shipping label, it will be deducted from your refund amount.
Condition:
Oops! Looks like we're having trouble connecting to our server.
Refresh your browser window to try again.
About this product
Product Identifiers
PublisherWiley & Sons, Incorporated, John
ISBN-100471082562
ISBN-139780471082569
eBay Product ID (ePID)370745
Product Key Features
Number of Pages272 Pages
Publication NameFourier Analysis of Time Series : an Introduction
LanguageEnglish
SubjectProbability & Statistics / Time Series, Mathematical Analysis
Publication Year1976
TypeTextbook
Subject AreaMathematics
AuthorPeter Bloomfield
SeriesWiley Series in Probability and Statistics-Applied Probability and Statistics Section Ser.
FormatHardcover
Dimensions
Item Height0.9 in
Item Weight21.3 Oz
Item Length9.5 in
Item Width6.3 in
Additional Product Features
Intended AudienceScholarly & Professional
LCCN75-034294
Dewey Edition21
Series Volume Number159
IllustratedYes
Dewey Decimal519.5/5
Table Of ContentIntroduction. 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.
SynopsisA 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 NumberQA280
Be the first to write a review
