๐”– Scriptorium
โœฆ   LIBER   โœฆ

๐Ÿ“

Extreme Value and Related Models with Applications in Engineering and Science

โœ Scribed by Enrique Castillo, Ali S. Hadi, N. Balakrishnan, Jose M. Sarabia


Publisher
Wiley-Interscience
Year
2004
Tongue
English
Leaves
367
Edition
1
Category
Library

โฌ‡  Acquire This Volume

No coin nor oath required. For personal study only.

โœฆ Synopsis


A straightforward, practical guide to extreme value modeling for today's worldMeasuring and interpreting data for extreme values presents a unique and important challenge that has far-reaching implications for all aspects of modern engineering and science. Extreme Value and Related Models with Applications in Engineering and Science reflects the latest information in this growing field. The book incorporates illuminating real-world examples from such areas as structural engineering, hydraulics, meteorology, materials science, highway traffic analysis, environmetrics, and climatology, and is designed to help engineers, mathematicians, statisticians, and scientists gain a clearer understanding of extreme value theory and then translate that knowledge into practical applications within their own fields of research.The book provides:A unique focus on modern topics including data analysis and inferenceSpecific data in such areas as wind, flood, chain strength, electrical insulation, fatigue, precipitation, and wave heightsUseful techniques for addressing extreme value problems, including discrete, continuous, univariate, and multivariate modelsCoverage of order statistics, return period, exceedances and shortfalls, along with detailed explanations on how to obtain exact distributions for these statisticsAn in-depth look at asymptotic models and the limit distributions of maxima, minima, and other order statisticsEnhanced with numerous graphs and exercises, plus an extensive bibliography for further study, this text is an important reference source for engineers designing structures that will withstand even the most extreme circumstances.


๐Ÿ“œ SIMILAR VOLUMES


Extreme Value and Related Models with Ap
โœ Enrique Castillo, Ali S. Hadi, N. Balakrishnan, Jose M. Sarabia ๐Ÿ“‚ Library ๐Ÿ“… 2004 ๐ŸŒ English

A straightforward, practical guide to extreme value modeling for today's worldMeasuring and interpreting data for extreme values presents a unique and important challenge that has far-reaching implications for all aspects of modern engineering and science. Extreme Value and Related Models with Appli

Statistical Techniques for Modelling Ext
โœ Osama M. Khaled, Haroon M. Barakat, El-Sayed M. Nigm ๐Ÿ“‚ Library ๐Ÿ“… 2019 ๐Ÿ› Cambridge Scholars Publishing ๐ŸŒ English

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 meth

Extreme value modeling and risk analysis
โœ Dipak K. Dey, Jun Yan ๐Ÿ“‚ Library ๐Ÿ“… 2016 ๐Ÿ› Chapman and Hall/CRC ๐ŸŒ English

<P><STRONG>Extreme Value Modeling and Risk Analysis: Methods and Applications</STRONG> presents a broad overview of statistical modeling of extreme events along with the most recent methodologies and various applications. The book brings together background material and advanced topics, eliminating

Generalized linear models : with applica
โœ Raymond H Myers; et al ๐Ÿ“‚ Library ๐Ÿ“… 2010 ๐Ÿ› Wiley ๐ŸŒ English

"Generalized Linear Models: With Applications in Engineering and the Sciences, Second Edition continues to provide a clear introduction to the theoretical foundations and key applications of generalized linear models (GLMs). Maintaining the same nontechnical approach as its predecessor, this upda

Generalized Linear Models: with Applicat
โœ Raymond H. Myers, Douglas C. Montgomery, G. Geoffrey Vining, Timothy J. Robinson ๐Ÿ“‚ Library ๐Ÿ“… 2010 ๐Ÿ› Wiley ๐ŸŒ English

<span>Praise for the First Edition</span><p><span>"The obvious enthusiasm of Myers, Montgomery, and Vining and their reliance on their many examples as a major focus of their pedagogy make Generalized Linear Models a joy to read. Every statistician working in any area of applied science should buy i