Fundamentals of Statistical Hydrology (Paperback, Softcover reprint of the original 1st ed. 2017)

This textbook covers the main applications of statistical methods in hydrology. It is written for upper undergraduate and graduate students but can be used as a helpful guide for hydrologists, geographers, meteorologists and engineers. The book is very useful for teaching, as it covers the main topics of the subject and contains many worked out examples and proposed exercises. Starting from simple notions of the essential graphical examination of hydrological data, the book gives a complete account of the role that probability considerations must play during modelling, diagnosis of model fit, prediction and evaluating the uncertainty in model predictions, including the essence of Bayesian application in hydrology and statistical methods under nonstationarity.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.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Release date:	April 2018
First published:	2017
Editors:	Mauro Naghettini
Dimensions:	235 x 155 x 34mm (L x W x T)
Format:	Paperback
Pages:	660
Edition:	Softcover reprint of the original 1st ed. 2017
ISBN-13:	978-3-319-82855-8
Languages:	English
Subtitles:	Portuguese
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics Books > Professional & Technical > Civil engineering, surveying & building > General Books > Earth & environment > Earth sciences > The hydrosphere > General Books > Earth & environment > Earth sciences > Meteorology > General Promotions
LSN:	3-319-82855-X
Barcode:	9783319828558

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