| Description |
1 online resource (xx, 260 pages) |
| Summary |
This book tackles some modern trends and methods in the modelling of extreme data. Usually such data arise from random phenomena such as floods, hurricanes, air and water pollutants, extreme claim sizes, life spans, and maximum sizes of ecological populations. It provides the latest statistical methods to model these random phenomena to understand and predict them, thus allowing the avoidance of damage or at least minimizing it. In addition, this book sheds light on the mathematical and statistical theories on which applied modelling methods were built. Therefore, it has both an applied and theoretical orientation, and represents a valuable addition to existing literature on the modelling of extreme value data |
| Bibliography |
Includes bibliographical references and index |
| Subject |
Mathematical models.
|
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Simulation methods.
|
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Natural disasters -- Mathematical models
|
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Natural disasters -- Observations
|
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Models, Theoretical
|
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mathematical models.
|
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simulation methods.
|
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MATHEMATICS -- General.
|
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Natural disasters -- Mathematical models
|
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Natural disasters
|
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Mathematical models
|
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Simulation methods
|
| Genre/Form |
Observations
|
| Form |
Electronic book
|
| Author |
Nigm, El-Sayed M.
|
|
Khaled, Osama M.
|
| ISBN |
9781527534650 |
|
1527534650 |
|
