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language: english
Publisher: CAMBRIDGE UNIVERSITY PRESS, March of 2020 ‧
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Spectral analysis is an important technique for interpreting time series data. This book uses the R language and real world examples to show data analysts interested in time series in the environmental, engineering and physical sciences how to bridge the gap between the statistical theory behind spectral analysis and its application to actual data.

Spectral Analysis For Univariate Time Series

by Andrew T. (Imperial College London) Walden e Donald B. (University Of Washington) Percival

Property Description
ISBN: 9781107028142
Publisher: CAMBRIDGE UNIVERSITY PRESS
Release Date: March of 2020
Language: English
Cover: Hardcover
Pages: 780
Format: Book
Collection: Cambridge Series In Statistical And Probabilistic Mathematics
Categories: Books in English > Science > Mathematics
Books in English > Others
EAN: 9781107028142