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Springer Time Series Analysis and Its Applications with R

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Description

Master complex statistical methods with Time Series Analysis and Its Applications from Springer. This text provides a comprehensive treatment of both time and frequency domain methods, supported by rigorous theory. Designed for higher education in mathematics and science, the book uses R examples to bridge the gap between theory and practice. Readers can explore real-world applications through detailed examples, including monitoring a nuclear test ban treaty, evaluating asset volatility, and addressing climate change. This resource is an essential tool for students and professionals seeking to apply advanced time series techniques to diverse data sets.

Key Features

This Springer publication provides a comprehensive treatment of both time and frequency domain methods.

The text includes practical R examples to help users implement statistical theories effectively.

Real-world applications include analyzing climate change and monitoring nuclear test ban treaties.

Learn to evaluate the volatility of an asset through extensive practical examples included in the book.

Part of the Springer Texts in Statistics series, making it a reliable resource for higher education.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
19 April 2017
Listed Since
15 December 2016

Barcode

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