Practical Time Series Analysis for Data Science

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.)"--

• | Author: Wayne A. Woodward, Bivin Philip Sadler, Stephen Robertson
• | Publisher: CRC Press
• | Publication Date: May 27, 2024
• | Number of Pages: NA pages
• | Language: English
• | Binding: Paperback
• | ISBN-10: 0367543893
• | ISBN-13: 9780367543891