000 | 01704 a2200229 4500 | ||
---|---|---|---|
003 | OSt | ||
005 | 20240117123355.0 | ||
008 | 190920b xxu||||| |||| 00| 0 eng d | ||
020 | _a9781108474252 | ||
040 | _cIIT Kanpur | ||
041 | _aeng | ||
082 |
_a519.240155148 _bZ61c |
||
100 | _aZhang, Lan | ||
245 |
_aCopulas and their applications in water resources engineering _cLan Zhang and V. P. Singh |
||
260 |
_bCambridge University Press _c2019 _aNew York |
||
300 | _axiii,603p | ||
520 | _aComplex environmental and hydrological processes are characterized by more than one correlated random variable. These events are multivariate and their treatment requires multivariate frequency analysis. Traditional analysis methods are, however, too restrictive and do not apply in many cases. Recent years have therefore witnessed numerous applications of copulas to multivariate hydrologic frequency analyses. This book describes the basic concepts of copulas, and outlines current trends and developments in copula methodology and applications. It includes an accessible discussion of the methods alongside simple step-by-step sample calculations. Detailed case studies with real-world data are included, and are organized based on applications, such as flood frequency analysis and water quality analysis. Illustrating how to apply the copula method to multivariate frequency analysis, engineering design, and risk and uncertainty analysis, this book is ideal for researchers, professionals and graduate students in hydrology and water resources engineering. | ||
650 | _aCopulas (Mathematical statistics) | ||
650 | _aHydrology -- Mathematics | ||
700 | _aSingh, V. P. | ||
942 | _cBK | ||
999 |
_c560739 _d560739 |