Overview
Describes up-to-date methods for statistical analysis of hydrological variables
Includes numerous worked out examples with solutions, exercises with answers, and summaries for descriptors of the main probability distributions
Takes a not-too-simple and not-too-difficult approach, suitable for students with a basic-to-moderate background in mathematics
Contains useful reviews of mathematical concepts and listings of the hydrological data used within the book
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Table of contents (12 chapters)
Keywords
About this book
The book also offers a comprehensive and useful discussion on subjective topics, such as the selection of probability distributions suitable for hydrological variables. On a practical level, it explains MS Excel charting and computing capabilities, demonstrates the use of Winbugs free software to solve Monte Carlo Markov Chain (MCMC) simulations, and gives examples of free R code to solve nonstationary models with nonlinear link functions with climate covariates.
Editors and Affiliations
About the editor
Bibliographic Information
Book Title: Fundamentals of Statistical Hydrology
Editors: Mauro Naghettini
DOI: https://doi.org/10.1007/978-3-319-43561-9
Publisher: Springer Cham
eBook Packages: Earth and Environmental Science, Earth and Environmental Science (R0)
Copyright Information: Springer International Publishing Switzerland 2017
Hardcover ISBN: 978-3-319-43560-2Published: 04 November 2016
Softcover ISBN: 978-3-319-82855-8Published: 22 April 2018
eBook ISBN: 978-3-319-43561-9Published: 26 October 2016
Edition Number: 1
Number of Pages: XI, 660
Number of Illustrations: 59 b/w illustrations, 103 illustrations in colour
Additional Information: Original Portuguese edition published by CPRM, Belo Horizonte, 2007
Topics: Hydrogeology, Civil Engineering, Hydrology/Water Resources, Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences, Meteorology
Industry Sectors: Energy, Utilities & Environment, Materials & Steel, Oil, Gas & Geosciences