Multitaper and Conventional Univariate Techniques
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Köp båda 2 för 1321 krThis introduction to wavelet analysis 'from the ground level and up', and to wavelet-based statistical analysis of time series focuses on practical discrete time techniques, with detailed descriptions of the theory and algorithms needed to underst...
Spectral analysis is widely used to interpret time series collected in diverse areas. This book covers the statistical theory behind spectral analysis and provides data analysts with the tools needed to transition theory into practice. Actual time...
"...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
Glossary 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-parametric spectral estimation; 7. Multiple taper spectral estimation; 8. Calculation of discrete prolate spheroidal sequences; 9. Parametric spectral estimation; 10. Harmonic analysis; References; Appendix: data and code via e-mail; Index.