The Spectral Analysis of Time Series by H Koopmans Lambert

The Spectral Analysis of Time Series by H Koopmans Lambert

To tailor time series models to a particular physical problem and to follow the working of various techniques for processing and analyzing data, one must understand the basic theory of frequency domain (spectral) analysis of time series. This book provides an introduction to the techniques and theories of spectral analysis of time series. With minimal dependence on mathematics, the book presents the geometric structure of spectral analysis. This approach makes possible useful, intuitive interpretations of important time series parameters and provides a unified framework of results. The book should be useful to the needs of readers from many disciplines with varying degrees of preparation in mathematics. It provides a solid background in spectral analysis for fields that include statistics signal process engineering, economics, geophysics, physics and geology. Appendices, the end of each chapter provide details and proofs for those who are advanced in maths. Theories are followed by examples and applications in a wide range of topics such as me orology, seismology and telecommunications. Topics covered include: Hilbert Spaces; univariate models for spectral analysis; multi-variate spectral models; sampling, aliasing and discrete-time models; real-time filtering; digital filters; linear filters; distribution theory; sampling properties of spectral estimates; and linear prediction.

SKU	Unavailable
ISBN 13	9780124192515
ISBN 10	0124192513
Title	The Spectral Analysis of Time Series
Author	H Koopmans Lambert
Series	Probability And Mathematical Statistics S
Condition	Unavailable
Binding Type	Paperback
Publisher	Elsevier Science Publishing Co Inc
Year published	1995-05-08
Number of pages	366
Cover note	Book picture is for illustrative purposes only, actual binding, cover or edition may vary.