Irregularities and prediction of major disasters / Yi Lin, Shoucheng OuYang.
"Although scientists have effectively employed the concepts of probability to address the complex problem of prediction, modern science still falls short in establishing true predictions with meaningful lead times of zero-probability major disasters. Drawing on their vast practical experience a...
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Format: | Book |
Language: | English |
Published: |
Boca Raton, FL :
Auerbach Publications,
©2010.
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Series: | Systems evaluation, prediction, and decision-making series.
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Subjects: |
Summary: | "Although scientists have effectively employed the concepts of probability to address the complex problem of prediction, modern science still falls short in establishing true predictions with meaningful lead times of zero-probability major disasters. Drawing on their vast practical experience and theoretical studies, Dr. Yi Lin and Professor Shoucheng OuYang examine some of the problems that exist in the modern science system and provide the understanding required to address the challenge of predicting major disasters." "Presenting new understandings, theories, and a new system of methodology, Irregularities and Prediction of Major Disasters simplifies the world-class problem of prediction into a series of tasks that can be learned, mastered, and applied in the analysis and prediction of forthcoming changes in materials or fluids. These internationally respected authors introduce their novel method of digitization for dealing with irregular information, which has been proven effective for predicting transitional changes in events." "This authoritative resource provides a systematic discussion of the non-evolutionality of the modern system of science-analyzing its capabilities and limitations. By touching on the need for change in some of the fundamentals in basic scientific theories and relevant methodologies, this book provides the scientific community with the understanding and methodology required to begin forecasting zero-probability major disasters with greatly improved accuracy." --Book Jacket. |
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Physical Description: | xxii, 605 pages : illustrations ; 25 cm. |
Bibliography: | Includes bibliographical references and index. |
ISBN: | 9781420087451 (hardcover : alk. paper) 1420087452 (hardcover : alk. paper) |