£86.77

Chapman and Hall/CRC Applied Bayesian Forecasting and Time Series Analysis - CRC

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£165.94 £52.31 £77.10 £101.89 £126.69 £151.48 £176.27 22 February 2026 10 March 2026 27 March 2026 13 April 2026 30 April 2026

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Description

Master the complexities of time series analysis with Applied Bayesian Forecasting and Time Series Analysis from Chapman and Hall/CRC. This book offers a practical approach to forecasting by providing the essential theories, methods, and tools needed for modern data analysis. By unifying model forms and requirements within the framework of the dynamic linear model (DLM), the authors provide a clear and cohesive structure for learners and professionals. You will find a complete theoretical development of the DLM, making it easier to understand how to apply these concepts to real-world scenarios. Each step of the process is illustrated through the analysis of actual time series data. Using real data sets, the text helps you explore how to identify, structure, and explain observed behaviors. This resource is designed to help you model structures and behaviors effectively, making it a valuable addition to your collection of operational research and business finance literature.

Key Features

Unified modeling framework that brings together concepts and model forms within the dynamic linear model (DLM) structure.

Complete theoretical development of the DLM to provide a deep understanding of forecasting methods and tools.

Practical application through real data sets that help you identify and structure observed behaviors in time series.

Step-by-step analysis of time series data to illustrate how to model complex structures and behaviors effectively.

Comprehensive guide for exploring diverse aspects of time series, from initial identification to explaining observed data.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
01 September 1994
Listed Since
08 February 2007

Barcode

No barcode data available

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