Opening book details…
Can I read Statistical Techniques for Modelling Extreme Value Data and Related Applications on EtoBox?
Statistical Techniques for Modelling Extreme Value Data and Related Applications by Osama M. Khaled, Haroon M. Barakat, El-Sayed M. Nigm is a nonfiction available to read on EtoBox.
What is Statistical Techniques for Modelling Extreme Value Data and Related Applications about?
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.
Who reads Statistical Techniques for Modelling Extreme Value Data and Related Applications?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Osama M. Khaled, Haroon M. Barakat, El-Sayed M. Nigm
- Publisher
- Cambridge Scholars Publishing
- Published
- 2019
- Language
- EN
- ISBN
- 9781527534650
- Category
- nonfiction
- Subjects
- Mathematics, Engineering, Stem
More by Osama M. Khaled, Haroon M. Barakat, El-Sayed M. Nigm
Browse all works by Osama M. Khaled, Haroon M. Barakat, El-Sayed M. Nigm
Similar books
- Statistical Modelling and Machine Learning Principles for Bioinformatics Techniques, Tools, and Applications (Algorithms for Intelligent Systems) — Srinivasa K.G (2020)
- Extreme Value Modeling and Risk Analysis : Methods and Applications — Dey, Dipak K.; Yan, Jun (2016)
- Extreme Value and Related Models with Applications in Engineering and Science — Enrique Castillo, Ali S. Hadi, N. Balakrishnan, Jose M. Sarabia (2004)
- Hierarchical Modelling for the Environmental Sciences : Statistical Methods and Applications — Gelfand A. Clark J. (2006)
- Computational and Statistical Methods for Analysing Big Data with Applications — Shen Liu, James Mcgree, Zongyuan Ge, Yang Xie (2016)
- Uncertainty Modelling and Quality Control for Spatial Data — Stein, Alfred; Wenzhong, Shi; Wu, Bo (2015)