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CRC Press Time Series Modelling in Earth Sciences - CRC Press

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£151.26 £140.06 £142.51 £144.95 £147.39 £149.83 £152.28 19 July 2026 06 August 2026 25 August 2026 13 September 2026 02 October 2026
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Description

This comprehensive guide to time series modelling in Earth Sciences equips students, faculty and professionals with advanced statistical techniques for analysing temporal data across geology and climate disciplines. The book covers linear methods including ARIMA and SARIMA models alongside their multivariate vector extensions, whilst also exploring non-linear approaches, state-space models, dynamic linear methods, wavelet analysis, volatility modelling and long memory techniques. Written for those with a background in multivariate statistics, the text bridges theory and practice through solved case studies drawn from real-world applications in mining, ore genesis, earthquake analysis and climatology. Each chapter builds technical understanding with practical examples, making complex time series methods accessible and immediately applicable to Earth Sciences research and professional work.

Key Features

Covers ARIMA, SARIMA models and their multivariate vector extensions for comprehensive time series analysis in Earth Sciences applications.

Includes non-linear methods, state-space, dynamic linear, wavelet, volatility and long memory models for advanced temporal analysis.

Features solved case studies and practical exercises from mining, ore genesis, earthquakes and climatology fields.

Designed for students, faculty and professionals with multivariate statistics background seeking practical Earth Sciences applications.

Combines latest theories with real-world applications, balancing theoretical foundations with hands-on problem-solving capability.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
01 February 2003
Listed Since
10 February 2007

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No barcode data available

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