£63.98

About as cheap as it gets — within 5% of the all-time low it hit 2 months ago.

£64 today · all-time low £64 (Aug 2026) · usually the usual

Cambridge University Press Cambridge Spectral Analysis for Univariate Time Series Book

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£64.37 £63.84 £63.96 £64.07 £64.19 £64.30 £64.42 23 July 2026 30 July 2026 07 August 2026 15 August 2026 23 August 2026
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Most common price: £64 (32 days, 100.0%)

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Description
Spectral analysis is a vital tool for interpreting time series data across many scientific fields. This volume from the Cambridge Series in Statistical and Probabilistic Mathematics provides the statistical theory required to move from theoretical concepts to practical application. Data analysts can use the running examples throughout the text, which feature actual time series from oceanography, metrology, and atmospheric science. These examples allow for a clear comparison of how different methods address specific questions of interest. The book covers all major nonparametric and parametric spectral analysis techniques, with a specific focus on the multitaper method in its original formulation. It is an essential resource for those working in earth sciences, geography, and statistical mathematics.

Key Features

Covers the statistical theory behind spectral analysis to help data analysts transition theory into practice.

Includes actual time series examples from oceanography, metrology, and atmospheric science for practical application.

Discusses all major nonparametric and parametric spectral analysis techniques for comprehensive study.

Provides a detailed look at the multitaper method in its original formulation.

Part of the Cambridge Series in Statistical and Probabilistic Mathematics (Series Number 51) by Cambridge University Press.

Product Specifications
Brand
Cambridge University Press
Format
hardcover
ASIN
1107028140
Category
Books > Subjects > Science, Nature & Maths > Earth Sciences > Geography > Cartography, Geodesy & Geographic Information Systems
Domain
Amazon UK
Release Date
19 March 2020
Listed Since
02 May 2019

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