Statistical Techniques for Modelling Extreme Value Data and Related Applications
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.
Haroon M. Barakat is Professor of Mathematical Statistics at Zagazig University, Egypt. He received his PhD in Mathematical Statistics from Moscow State University, Russia, in 1986. His research interests include statistical ordered data and its applications. He has published research articles in various international mathematical statistics journals. In 2007, he was awarded the National Award for Excellence in Basic Sciences.
El-Sayed M. Nigm is Professor at Zagazig University, Egypt, having received his PhD in Mathematical Statistics from the same institution in 1990. He has published research articles in various international mathematical statistics journals. In 2000, he received the National Egyptian Committee of Mathematics Prize in Mathematics.
Osama M. Khaled is Associated Professor at Port Said University, Egypt. He received his PhD in Mathematical Statistics from Zagazig University, Egypt, in 2012. His research interests include statistical ordered data and its applications.
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