Title
Time Series Prediction: Forecasting The Future And Understanding The Past (Santa Fe Institute Series),New
Sold by Ergodebooks, an authorized reseller.
Returns accepted within 30 days | support@ergodebooks.com
Shipping Information
- Free Standard Shipping — United States only
- Processing Time: 1–3 business days
- Estimated Delivery: 3–5 business days after dispatch
- Double-boxed, fully insured & discreetly packaged
- Tracking number sent via email once dispatched
- Orders over $250 require signature upon delivery. Taxes calculated at checkout.
Returns & Refund
Returns accepted within 30 days of delivery.
Damaged or Defective Item
Free return shipping + replacement or full refund
Wrong Item Received
Free return shipping + replacement or full refund
Change of Mind
Return shipping at customer's expense · 25% restocking fee applies
Payment Option
The book is a summary of a time series forecasting competition that was held a number of years ago. It aims to provide a snapshot of the range of new techniques that are used to study time series, both as a reference for experts and as a guide for novices.
⚠️ WARNING (California Proposition 65):
This product may contain chemicals known to the State of California to cause cancer, birth defects, or other reproductive harm.
For more information, please visit www.P65Warnings.ca.gov.
- Q: What is the main focus of the book 'Time Series Prediction: Forecasting The Future And Understanding The Past'? A: The book summarizes a time series forecasting competition and provides insights into various new techniques used to analyze time series data.
- Q: Who is the author of this book? A: The author of the book is Andreas S. Weigend.
- Q: What type of binding does this book have? A: This book is available in paperback binding.
- Q: How many pages long is 'Time Series Prediction'? A: The book has a total of 663 pages.
- Q: When was 'Time Series Prediction' published? A: The book was published on December 1, 1993.
- Q: Is this book suitable for beginners in time series analysis? A: Yes, the book serves as a guide for novices while also providing references for experts.
- Q: What category does this book fall under? A: This book is categorized under Mathematics.
- Q: What edition of the book is available? A: The book is available in its first edition.
- Q: What condition is the book in? A: The book is in new condition.
- Q: Does the book include practical examples of time series forecasting? A: Yes, the book includes practical examples and techniques used in time series forecasting competitions.