£140.69

CRC Press - Time Series Modelling in Earth Sciences Book

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Description

Master the complexities of temporal data with Time Series Modelling in Earth Sciences by CRC Press. This comprehensive text is designed for students, faculty members, and professionals who possess a background in multivariate statistics. It provides a deep look into the latest theories and practical applications required to analyze environmental and geological data. The book covers a wide range of essential methodologies. You will learn about linear methods to produce ARIMA and SARIMA models, along with their multivariate vector extensions. Beyond linear approaches, the text explores non-linear methods, state-space models, dynamic linear models, wavelet analysis, volatility, and long memory models. To bridge the gap between theory and practice, the book includes several solved case studies and exercises. These practical examples are drawn from critical fields such as mining, ore genesis, earthquakes, and climatology. This makes it an essential resource for anyone looking to apply advanced statistical modeling to real-world earth science challenges.

Key Features

Covers advanced linear methods including ARIMA, SARIMA, and multivariate vector extensions for precise data modeling.

Explores non-linear methodologies, state-space models, and dynamic linear models for complex data analysis.

Includes specialized topics such as wavelet, volatility, and long memory models to expand your statistical toolkit.

Provides practical learning through solved case studies in mining, ore genesis, earthquakes, and climatology.

Designed specifically for academic and professional use by those with a background in multivariate statistics.

Product Specifications

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

Barcode

No barcode data available

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