Isbn: 9780444867261 - Time Series in the Frequency Domain (volume 3) (handbook of Statistics, Volume 3) (19 results)

Hardcover/Pappeinband. Condition: Gut. 2nd impr. 500 pages. Good. Ex-library with usual markings. Clean pages. Sprache: Englisch Gewicht in Gramm: 1300.

Condition: Good. Volume 3. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. Clean from markings. In good all round condition. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,1050grams, ISBN:0444867260.…

Condition: very_good. This book is in Very good condition. There may be a few flaws like shelf wear and some light wear.

Condition: Good. Former library copy. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

Condition: Gut. Zustand: Gut | Seiten: 500 | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.

Condition: New.

Condition: New.

Hardcover. Condition: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

Condition: As New. Unread book in perfect condition.

Condition: New. In English.

Condition: As New. Unread book in perfect condition.

Hardback. Condition: New. This volume of the Handbook is concerned particularly with the frequency side, or spectrum, approach to time series analysis. This approach involves essential use of sinusoids and bands of (angular) frequency, with Fourier transforms playing an important role. A principal activity is thinking of systems, their inputs, outputs, and behavior in sinusoidal terms. In many cases, the frequency side approach turns out to be simpler with respect to computational, mathematical, and statistical aspects. In the frequency approach, an assumption of stationarity is commonly made. However, the essential roles played by the techniques of complex demodulation and seasonal adjustment show that stationarity is far from being a necessary condition. Assumptions of Gaussianity and linearity are also commonly made and yet, as a variety of the papers in this volume illustrate, these assumptions are not necessary.…

Gebunden. Condition: New. InhaltsverzeichnisWiener Filtering (with Emphasis on Frequency-Domain Approaches) (R.J. Bhansali, D. Karavellas). The Finite Fourier Transform of a Stationary Process (D.R. Brillinger). Seasonal and Calendar Adjustment (W.S. Cleveland). .

Hardback. Condition: New. This volume of the Handbook is concerned particularly with the frequency side, or spectrum, approach to time series analysis. This approach involves essential use of sinusoids and bands of (angular) frequency, with Fourier transforms playing an important role. A principal activity is thinking of systems, their inputs, outputs, and behavior in sinusoidal terms. In many cases, the frequency side approach turns out to be simpler with respect to computational, mathematical, and statistical aspects. In the frequency approach, an assumption of stationarity is commonly made. However, the essential roles played by the techniques of complex demodulation and seasonal adjustment show that stationarity is far from being a necessary condition. Assumptions of Gaussianity and linearity are also commonly made and yet, as a variety of the papers in this volume illustrate, these assumptions are not necessary.…

Buch. Condition: Neu. Neuware - Hardbound. This volume of the Handbook is concerned particularly with the frequency side, or spectrum, approach to time series analysis. This approach involves essential use of sinusoids and bands of (angular) frequency, with Fourier transforms playing an important role. A principal activity is thinking of systems, their inputs, outputs, and behavior in sinusoidal terms. In many cases, the frequency side approach turns out to be simpler with respect to computational, mathematical, and statistical aspects. In the frequency approach, an assumption of stationarity is commonly made. However, the essential roles played by the techniques of complex demodulation and seasonal adjustment show that stationarity is far from being a necessary condition. Assumptions of Gaussianity and linearity are also commonly made and yet, as a variety of the papers illustrate, these assumptions are not necessary. This volume complements Handbook of Statistics 5: Time Series in the.…

Condition: New. pp. 500.

Condition: New. pp. 500 68:B&W 7 x 10 in or 254 x 178 mm Case Laminate on White w/Gloss Lam.

HRD. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

HRD. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.