Robustness in Statistical Forecasting
Language: English
Published by Springer International Publishing, 2013
- Hardcover
- New
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Seller Inventory # 9783319008394
- Title
- Robustness in Statistical Forecasting
- Author
- Yuriy Kharin
- Publisher
- Springer International Publishing
- Publication year
- 2013
- Condition
- Neu
- Binding
- Buch
- Language
- English
- ISBN 10
- 3319008390
- ISBN 13
- 9783319008394
- Item weight
- 723 grams
- Dimensions
- 241x160x25 mm
Traditional procedures in the statistical forecasting of time series, which are proved to be optimal under the hypothetical model, are often not robust under relatively small distortions (misspecification, outliers, missing values, etc.), leading to actual forecast risks (mean square errors of prediction) that are much higher than the theoretical values. This monograph fills a gap in the literature on robustness in statistical forecasting, offering solutions to the following topical problems:
- developing mathematical models and descriptions of typical distortions in applied forecasting problems;
- evaluating the robustness for traditional forecasting procedures under distortions;
- obtaining the maximal distortion levels that allow the “safe” use of the traditional forecasting algorithms;
- creating new robust forecasting procedures to arrive at risks that are less sensitive to definite distortion types.
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