A multitude of processes in hydrology and environmental engineering are either random or entail random components which are characterized by random variables. These variables are described by frequency distributions. This book provides an overview of different systems of frequency distributions, their properties, and applications to the fields of water resources and environmental engineering. A variety of systems are covered, including the Pearson system, Burr system, and systems commonly applied in economics, such as the D'Addario, Dagum, Stoppa, and Esteban systems. The latter chapters focus on the Singh system and the frequency distributions deduced from Bessel functions, maximum entropy theory, and the transformations of random variables. The final chapter introduces the genetic theory of frequency distributions. Using real-world data, this book provides a valuable reference for researchers, graduate students, and professionals interested in frequency analysis.
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Vijay P. Singh is a University Distinguished Professor, a Regents Professor, and Caroline and William N. Lehrer Distinguished Chair in Water Engineering at Texas A&M University. He has published more than 1220 journal articles, 30 books, 70 edited reference books, 113 book chapters, and 314 conference papers in the areas of hydrology, groundwater, hydraulics, irrigation, pollutant transport, copulas, entropy, and water resources. He has received more than 93 national and international awards, including the Arid Lands Hydraulic Engineering Award; the Richard R. Torrens Award; the Norman Medal; the EWRI Lifetime Achievement Award given by the American Society of Civil Engineers (ASCE); the Ray K. Linsley Award and Founder's Award, given by the American Institute of Hydrology; the Crystal Drop Award and the Ven Te Chow Award, given by the International Water Resources Association; and three honorary doctorates. He is a Distinguished Member of ASCE, and a fellow of EWRI, AWRA, IWRS, ISAE, IASWC, and IE. He has served as President of the American Institute of Hydrology (AIH), serves on the editorial boards of more than 25 journals and three book series, and is President-Elect of AAWRE-ASCE.
Lan Zhang currently works as Post-Doc Research Scholar in the Department of Agricultural and Biological Engineering at Texas A&M University. She received her BS in Mechanical Engineering, her MS in Water Resources Sciences, and her PhD in Civil and Environmental Engineering. She has published more than 40 articles in the areas of hydrology, copulas, water quality, entropy, and water resources. She has been working on the copula and its applications in hydrology and water resource engineering for more than 10 years.
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Hardcover. Etat : new. Hardcover. A multitude of processes in hydrology and environmental engineering are either random or entail random components which are characterized by random variables. These variables are described by frequency distributions. This book provides an overview of different systems of frequency distributions, their properties, and applications to the fields of water resources and environmental engineering. A variety of systems are covered, including the Pearson system, Burr system, and systems commonly applied in economics, such as the D'Addario, Dagum, Stoppa, and Esteban systems. The latter chapters focus on the Singh system and the frequency distributions deduced from Bessel functions, maximum entropy theory, and the transformations of random variables. The final chapter introduces the genetic theory of frequency distributions. Using real-world data, this book provides a valuable reference for researchers, graduate students, and professionals interested in frequency analysis. This book provides an overview of different systems of frequency distributions, their properties, and applications to the fields of water resources and environmental engineering. A variety of systems are covered and illustrated with real-world data, providing a valuable reference for researchers, graduate students, and professionals. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9781316516843
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