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Time Series for Data Science: Analysis and Forecasting

Name: Time Series for Data Science: Analysis and Forecasting
Brand: Chapman and Hall/CRC
SKU: 9780367537944
Price: 23070.00 INR
Availability: InStock
ISBN: 9780367537944

Contributor(s): Woodward, Wayne A. Author , Sadler, Bivin Philip Author , Robertson, Stephen Author Format: Hardback

Hardback · ISBN 9780367537944

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Key Specifications

ISBN	9780367537944
Publisher	Chapman and Hall/CRC
Publication date	August 2022
Language	English
MRP	£145.99 GBP
Page count	530
Item weight	249 g

Data Science students and practitioners want to find a forecast that "works" and don't want to be constrained to a single forecasting strategy, Time Series for Data Science: Analysis and Forecasting discusses techniques of ensemble modelling for combining information from several strategies. Covering time series regression models, exponential smoothing, Holt-Winters forecasting, and Neural Networks. It places a particular emphasis on classical ARMA and ARIMA models that is often lacking from other textbooks on the subject.

This book is an accessible guide that doesn't require a background in calculus to be engaging but does not shy away from deeper explanations of the techniques discussed.

Features:

Provides a thorough coverage and comparison of a wide array of time series models and methods: Exponential Smoothing, Holt Winters, ARMA and ARIMA, deep learning models including RNNs, LSTMs, GRUs, and ensemble models composed of combinations of these models.
Introduces the factor table representation of ARMA and ARIMA models. This representation is not available in any other book at this level and is extremely useful in both practice and pedagogy.
Uses real world examples that can be readily found via web links from sources such as the US Bureau of Statistics, Department of Transportation and the World Bank.
There is an accompanying R package that is easy to use and requires little or no previous R experience. The package implements the wide variety of models and methods presented in the book and has tremendous pedagogical use.

Time Series for Data Science: Analysis and Forecasting

Key Specifications

Woodward, Wayne A. Author

Sadler, Bivin Philip Author

Robertson, Stephen Author

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