This book is an up-to-date introduction to univariate spectral analysis aimed at graduate students, which reflects a new scientific awareness of spectral complexity, as well as the widespread use of spectral analysis on digital computers with considerable computational power. The text provides theoretical and computational guidance on the available techniques, emphasizing those that work in practice. It gives equal weight to both algorithms and statistical theory and is valuable for the many examples it gives showing the application of spectral analysis to real data sets. The book is unique in placing special emphasis on the multitaper technique, which can successfully handle spectra with intricate structure and data with or without spectral lines. The text contains a large number of exercises.
"synopsis" may belong to another edition of this title.
This up-to-date introduction to univariate spectral analysis at the graduate level reflects a new scientific awareness of its complexity, as well as its widespread usage on digital computers with considerable computational power.
"...this is a beautifully crafted book, which can be read at several levels. The beginner can concentrate on principles, study the algorithms and the numerical examples, and then begin to use the Common USP code obtainable through electronic-mail. The experienced reader can proceed to study the more advanced material that the authors have isolated in 'Comments and Extensions' to appropriate sections presenting more general material. This presentation style works very well indeed, because it has enabled the authors to produce a volume that is both elementary and advanced....This is an outstanding volume, one that ought to be on the bookshelves of students as well as those of experienced practitioners of this arcane art." Sven Treitel, American Scientist
"...provides a very thorough and modern introduction to spectral analysis of univariate time series with an emphasis on the multitaper method. This book would serve well as a textbook for an introduction to spectral analysis for advanced undergraduate or graduate students, even without mentioning multitaper methods. I also recommend it as a reference book for anyone interested in the field, and it certainly belongs in a university library." Dennis D. Cox, Technometrics
"This is a great book for any one who uses or wants to learn to use spectral analysis....The authors take an applied approach, not a watered down approach....the suthors supply the reader with ample references to the more theoretical details. The authors take you, step-by-step, through the entire wonderland of the spectral analysis of time series....they give philosophical as well as practical advice." Journal of the American Statistical Association
"About this title" may belong to another edition of this title.
Shipping:
US$ 3.99
Within U.S.A.
Shipping:
US$ 15.50
From United Kingdom to U.S.A.
Seller: Salish Sea Books, Bellingham, WA, U.S.A.
Condition: Good. Good++; Hardcover; Clean covers with minor edgewear; Unblemished textblock edges; Name and blind-stamp to the first endpaper, otherwise the endpapers and all text pages are clean and unmarked; The binding is excellent with a straight spine; This book will be stored and delivered in a sturdy cardboard box with foam padding; Medium Format (8.5" - 9.75" tall); Dark blue covers with title in light purple and white lettering; 1993, Cambridge University Press; 612 pages; "Spectral Analysis for Physical Applications," by Donald B. Percival & Andrew T. Walden. Seller Inventory # SKU-V06DA03306299
Quantity: 1 available
Seller: Buchpark, Trebbin, Germany
Condition: Sehr gut. Zustand: Sehr gut - Gepflegter, sauberer Zustand. Außen: verschmutzt, angestoßen. Innen: Seiten vergilbt. Aus der Auflösung einer renommierten Bibliothek. Kann Stempel beinhalten. | Seiten: 612 | Sprache: Englisch | Produktart: Sonstiges. Seller Inventory # 1483266/202
Quantity: 1 available
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Condition: New. In. Seller Inventory # ria9780521355322_new
Quantity: Over 20 available
Seller: BennettBooksLtd, North Las Vegas, NV, U.S.A.
hardcover. Condition: New. In shrink wrap. Looks like an interesting title!. Seller Inventory # Q-052135532X
Quantity: 1 available
Seller: Lucky's Textbooks, Dallas, TX, U.S.A.
Condition: New. Seller Inventory # ABLIING23Feb2416190000374
Quantity: Over 20 available
Seller: California Books, Miami, FL, U.S.A.
Condition: New. Seller Inventory # I-9780521355322
Quantity: Over 20 available
Seller: Grand Eagle Retail, Fairfield, OH, U.S.A.
Hardcover. Condition: new. Hardcover. This book is an up-to-date introduction to univariate spectral analysis aimed at graduate students, which reflects a new scientific awareness of spectral complexity, as well as the widespread use of spectral analysis on digital computers with considerable computational power. The text provides theoretical and computational guidance on the available techniques, emphasizing those that work in practice. It gives equal weight to both algorithms and statistical theory and is valuable for the many examples it gives showing the application of spectral analysis to real data sets. The book is unique in placing special emphasis on the multitaper technique, which can successfully handle spectra with intricate structure and data with or without spectral lines. The text contains a large number of exercises. An introduction to univariate spectral analysis at the graduate level. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9780521355322
Quantity: 1 available
Seller: Revaluation Books, Exeter, United Kingdom
Hardcover. Condition: Brand New. 611 pages. 9.50x6.50x1.50 inches. In Stock. This item is printed on demand. Seller Inventory # __052135532X
Quantity: 1 available
Seller: Books Puddle, New York, NY, U.S.A.
Condition: New. pp. 612 Index. Seller Inventory # 26486690
Quantity: 4 available
Seller: moluna, Greven, Germany
Condition: New. InhaltsverzeichnisGlossary of symbols 1. Introduction to spectral analysis 2. Stationary stochastic processes 3. Deterministic spectral analysis 4. Foundations for stochastic spectral theory 5. Linear time-invariant filters 6. Non-. Seller Inventory # 446932772
Quantity: Over 20 available