Forecasting with Exponential Smoothing: The State Space Approach (Springer S...
Forecasting with Exponential Smoothing: The State Space Approach is a textbook written by Anne B. Koehler, Rob Hyndman, J. Keith Ord, and Ralph D. Snyder. It is part of the Springer Series in Statistics and focuses on the application of exponential smoothing methods in business, economics, and statistics. The book covers topics such as functional analysis, probability and statistics, econometrics, and forecasting, making it a valuable resource for students and professionals in the field. With its detailed explanations and practical examples, this book provides a comprehensive understanding of exponential smoothing and its relevance in real-world forecasting scenarios.
Specifications
| Release Year | 2008 |
| ISBN | 9783540719168 |
| Item Length | 9.2 in |
| Publication Year | 2008 |
| Type | Textbook |
| Format | Trade Paperback |
| Language | English |
| Item Weight | 20.5 Oz |
| Item Width | 6.1 in |
| Number Of Pages | 362 Pages |
Forecasting with Exponential Smoothing: The State Space Approach is a textbook written by Anne B. Koehler, Rob Hyndman, J. Keith Ord, and Ralph D. Snyder. It is part of the Springer Series in Statistics and focuses on the application of exponential smoothing methods in business, economics, and statistics. The book covers topics such as functional analysis, probability and statistics, econometrics, and forecasting, making it a valuable resource for students and professionals in the field. With its detailed explanations and practical examples, this book provides a comprehensive understanding of exponential smoothing and its relevance in real-world forecasting scenarios.
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