Time series for data science : analysis and forecasting / Wayne A. Woodward, Bivin P. Sadler and Stephen D. Robertson

By:

Woodward, Wayne A

Contributor(s):

Material type: Text

TextSeries: Texts in Statistical SciencePublication details: Boca Raton CRC Press 2022Description: 506pISBN:

9780367537944

Subject(s):

DDC classification:

519.55 WOO-W

Average rating: 0.0 (0 votes)

Holdings
Item type	Current library	Collection	Shelving location	Call number	Copy number	Status	Date due	Barcode	Item holds
Books	BITS Pilani Hyderabad	510	General Stack (For lending)	519.55 WOO-W (Browse shelf(Opens below))	GBP 99.99	Available		48516

Total holds: 0

This book will be written at a level that requires little or no calculus but does not shy away from giving students more than a cursory understanding of the fundamentals and techniques involved. It will cover time series regression models, exponential smoothing, Holt-Winters forecasting, and Neural Networks. It gives more emphasis to classical ARMA and ARIMA models than is found in similar-level texts. Knowing that students and practitioners want to find a forecast that "works" and don't want to be constrained to a single forecasting strategy, we discuss techniques of ensemble modeling for combining information from several strategies (multivariate, VAR, neural networks, etc.)

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