000			02096cam a22002775i 4500
005			20250730141046.0
008			161026s2017 gw |||| o |||| 0|eng
020			_a9783319435619
082	0	4	_a551.4
245	0	0	_aFundamentals of Statistical Hydrology / _cedited by Mauro Naghettini.
250			_a1st ed. 2017.
300			_a1 online resource (XI, 660 pages 162 illustrations, 103 illustrations in color.)
520			_aThis 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.
650		0	_aCivil engineering.
650		0	_aHydrogeology.
650		0	_aHydrology.
650		0	_aMeteorology.
650		0	_aStatistics.
650	1	4	_aHydrogeology.
650	2	4	_aCivil Engineering.
650	2	4	_aHydrology/Water Resources.
650	2	4	_aMeteorology.
650	2	4	_aStatistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
700	1		_aNaghettini, Mauro.
942			_cBK
999			_c20573 _d20573