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.
Dr. Rajib Maity is 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 on ‘Hydroclimatic Teleconnection: Indian Perspective’, several book chapters, and over 80 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 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. The author is also currently serving as an associate editor of the Journal of Earth System Science (JESS), Springer and ISH Journal of Hydraulic Engineering, Taylor and Francis.
This book 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, MATLAB-based codes and solutions of some worked out examples are also provided to assist the readers to handle real life data. This book presents a comprehensive knowledge of statistical techniques combining the basics of probability and the current advances in stochastic hydrology. Besides serving as a textbook for graduate courses on stochastic modeling in hydrology and related disciplines, the book offers valuable resources for researchers and professionals involved in the field of hydrology and climatology.