Woodward, Wayne A. (Southern Methodist University, Dallas, Texas

Time Series for Data Science: Analysis and Forecasting (Chapman & Hall/CRC Texts in Statistical Science)

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ISBN 13:
9780367543891
author:
Woodward, Wayne A. (Southern Methodist University, Dallas, Texas
format:
Paperback
publisher:
Chapman & Hall/CRC
language:
English
Publication Year:
2024
Pages:
528
Dimensions:
25.4 x 17.8 x 2.7 centimetres (0
Genre:
Business, Operations, Statistics,
Condition:
New
Availability:
Item usually sent within 10 working days
£54.93

Description

Time Series for Data Science Analysis and Forecasting by Wayne A. Woodward, Bivin Philip Sadler, and Stephen Robertson provides an accessible guide to time series forecasting techniques. This comprehensive textbook covers a range of methods, including exponential smoothing, Holt-Winters forecasting, ARMA and ARIMA models, and deep learning models. The book introduces the factor table representation of ARMA and ARIMA models, which is not available in other textbooks at this level. It also features real-world examples from sources such as the US Bureau of Statistics and the World Bank, making it an ideal resource for practitioners and students alike. An accompanying R package is included, allowing readers to implement the models and methods presented in the book with minimal prior experience. With its thorough coverage and comparison of various time series models and methods, this textbook is a valuable resource for data science students and professionals looking to improve their forecasting skills.

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