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Statistical Methods in Hydrology and Hydroclimatology de Rajib Maity

Statistical Methods in Hydrology and Hydroclimatology: Springer Transactions in Civil and Environmental Engineering

Autor Rajib Maity
en Limba Engleză Hardback – 26 ian 2022
This second edition focuses on the application of statistical methods in the field of hydrology and hydroclimatology. Among the latest theories being used in these fields, the book introduces the theory of copulas and its applications in this context. The purpose is to develop an understanding and illustrate the usefulness of the statistical techniques with detailed theory and numerous worked out examples. Apart from this, sample scripts based on MATLAB, Python and R for some examples are also provided to assist the readers to handle real life data. Besides serving as a textbook for graduate courses on stochastic modeling in hydrology and related disciplines, the book offers a valuable resource for researchers and professionals involved in the field of hydrology and climatology.
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Specificații

ISBN-13: 9789811655166
ISBN-10: 9811655162
Pagini: 438
Ilustrații: XIX, 436 p. 67 illus., 23 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.93 kg
Ediția:2nd ed. 2022
Editura: Springer Nature Singapore
Colecția Springer
Seria Springer Transactions in Civil and Environmental Engineering

Locul publicării:Singapore, Singapore

Cuprins

Introduction.- Basic concepts of Probability and Statistics.- Basic Statistical Properties of Data.- Probability Distributions and Their Applications.- Frequency Analysis, Risk and Uncertainty in Hydroclimatic Analysis.- Hypothesis Testing.- Regression Analysis and Curve fitting.- Multivariate Analysis.- Time Series Analysis.- Theory of Copula in Hydrology and Hydroclimatology.

Notă biografică

Dr. Rajib Maity is the AK Singh Chair faculty of IIT Kharagpur and Associate Professor in the Department of Civil Engineering, Indian Institute of Technology Kharagpur, India. His research areas include hydroclimatology, stochastic hydrology, climate impacts on water resources, hydrologic time series analyses and forecasting etc. He has published a book, several book chapters, and over 135 research articles in various peer-reviewed journals and conferences. His research work has been funded by various agencies such as the Department of Science and Technology (DST), Indian Space Research Organisation (ISRO), Ministry of Earth Sciences (MoES), Ministry of Human Resource Development (MHRD), Australia-India Strategic Research Fund (AISRF) and IBM. Some of his professional awards/honors include AK Singh Chair faculty, Humboldt Fellowship (experienced category) from Alexander von Humboldt Foundation (Germany), James Rennell MoES Young Fellowship (MoES), the Prof. R. J. Garde Research Award, ASCE 2011 Outstanding Reviewer (USA), Emerging Leaders Fellowship (Australia), BOYSCAST Fellowship (India/USA), IEI Young Engineers Award, DAAD fellowship for IIT faculty (Germany), International ICE WaRM Fellowship (Australia), and Prof. N. S. Govinda Rao Memorial Gold Medal, IISc.

Textul de pe ultima copertă

This second edition focuses on the application of statistical methods in the field of hydrology and hydroclimatology. Among the latest theories being used in these fields, the book introduces the theory of copulas and its applications in this context. The purpose is to develop an understanding and illustrate the usefulness of the statistical techniques with detailed theory and numerous worked out examples. Apart from this, sample scripts based on MATLAB, Python and R for some examples are also provided to assist the readers to handle real life data. Besides serving as a textbook for graduate courses on stochastic modeling in hydrology and related disciplines, the book offers a valuable resource for researchers and professionals involved in the field of hydrology and climatology.

Caracteristici

Presents a first-of-its-kind treatment of hydroclimatology Includes numerous solved examples, along with corresponding MATLAB Provides a resource that can be applied to climate change impact assessment using statistical methods