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Irregularities and Prediction of Major Disasters [Paperback]

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  • Category: Books (Science)
  • Author:  Lin, Yi, OuYang, Shoucheng
  • Author:  Lin, Yi, OuYang, Shoucheng
  • ISBN-10:  0367384426
  • ISBN-10:  0367384426
  • ISBN-13:  9780367384425
  • ISBN-13:  9780367384425
  • Publisher:  Auerbach Publications
  • Publisher:  Auerbach Publications
  • Pages:  627
  • Pages:  627
  • Binding:  Paperback
  • Binding:  Paperback
  • Pub Date:  01-Jun-2019
  • Pub Date:  01-Jun-2019
  • SKU:  0367384426-11-MPOD
  • SKU:  0367384426-11-MPOD
  • Item ID: 104744961
  • Seller: ShopSpell
  • Ships in: 2 business days
  • Transit time: Up to 5 business days
  • Delivery by: Oct 13 to Oct 15
  • Notes: Brand New Item. Not shipped to AK, HI, APO, FPO, AE.

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. The recent earthquakes in Haiti, Chile, and China are tragic reminders of the critical need for improved methods of predicting natural 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 system of science to provide the understanding required to improve our ability to forecast and prepare for such events.



Presenting a series of 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, proven effective for predicting transitional changes in events. They also:









  • Unveil a new methodology for forecasting zero-probability natural disasters






  • Highlight the reasons for common forecasting failures






  • Propose a method for resolving the mystery of nonlinearity