Time Series for Data Science: Analysis and Forecasting by Woodward, Wayne A.
Time Series for Data Science: Analysis and Forecasting by Woodward, Wayne A.

Time Series for Data Science: Analysis and Forecasting

Data Science students and practitioners want to find a forecast that "works" and don't want to be...
$453.00 AUD
$453.00 AUD
SKU: 9780367537944
Product Type: Books
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Author: Wayne A. Woodward
Format: Hardcover
Language: English
Subtotal: $453.00
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Time Series for Data Science: Analysis and Forecasting by Woodward, Wayne A.

Time Series for Data Science: Analysis and Forecasting

$453.00
Time Series for Data Science: Analysis and Forecasting by Woodward, Wayne A.

Time Series for Data Science: Analysis and Forecasting

$453.00
Author: Wayne A. Woodward
Format: Hardcover
Language: English
Description

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.


Author: Wayne A. Woodward, Bivin Philip Sadler, Stephen Robertson
Publisher: CRC Press
Published: 08/01/2022
Pages: 506
Binding Type: Hardcover
Weight: 2.49lbs
Size: 10.00h x 7.00w x 1.13d
ISBN: 9780367537944

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