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Chapman and Hall/CRC Change Point Analysis: Theory and Application

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Description

Change Point Analysis: Theory and Application by Chapman and Hall/CRC provides a comprehensive look at detecting structural breaks within datasets. This text expands the scope of the discipline beyond traditional time series applications. It covers essential areas including biostatistics, longitudinal data analysis, high-dimensional data, and network analysis. Readers will find foundational concepts paired with practical data examples drawn from existing literature. The book also explores related machine learning topics and provides mathematical tools to support advanced statistical work. Whether you are working in finance, weather forecasting, or other data-driven fields, this resource offers the theoretical and practical framework needed to manage complex data changes.

Key Features

This Chapman and Hall/CRC publication covers a wide range of applications including finance and weather forecasting.

The text expands on traditional time series methods to include biostatistics and longitudinal data analysis.

Learn to apply statistical techniques to high-dimensional data and network analysis.

Foundational concepts are supported by practical data examples taken from scientific literature.

The book includes discussions on related machine learning topics to assist with modern data challenges.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
29 August 2025
Listed Since
19 February 2025

Barcode

No barcode data available

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