TY  - BOOK
AU  - Woodward, Wayne A.
AU  - Sadler, Bivin P.
AU  - Robertson, Stephen D.
TI  - Time series for data science: analysis and forecasting 
SN  - 9780367537944
U1  - 519.55 WOO-W  
PY  - 2022///
CY  - Boca Raton
PB  - CRC Press
KW  -  Time-series analysis
KW  -  Autoregression (Statistics)
KW  - Big data
N1  - 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.)
ER  -