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Fundamentals of Statistical Hydrology de Mauro Naghettini

Fundamentals of Statistical Hydrology

Editat de Mauro Naghettini
en Limba Engleză Hardback – 4 noi 2016
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.
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Specificații

ISBN-13: 9783319435602
ISBN-10: 3319435604
Pagini: 472
Ilustrații: XI, 660 p. 162 illus., 103 illus. in color.
Dimensiuni: 155 x 235 x 37 mm
Greutate: 11.23 kg
Ediția:1st ed. 2017
Editura: Springer International Publishing
Colecția Springer
Locul publicării:Cham, Switzerland

Cuprins

Chapter 1: Introduction to Statistical Hydrology.- Chapter 2: Preliminary Analysis of Hydrological Data.- Chapter 3: Elementary Theory of Probability.- Chapter 4: Discrete Random Variables: Distributions and Applications.- Chapter 5: Continuous Random Variables: Distributions and Applications.- Chapter 6: Parameter Estimation.- Chapter 7: Hypothesis Testing.- Chapter 8: At-Site Frequency Analysis of Hydrological Variables.- Chapter 9: Correlation and Regression.- Chapter 10: Regional Frequency Analysis of Hydrological Variables.- Chapter 11: Introduction of Bayesian Analysis and Its Applications in Hydrology.- Chapter 12: Introduction to the Analysis and Modelling of Nonstationary Hydrological Series.

Notă biografică

Prof. Dr. Mauro da Cunha Naghettini: Civil Engineer, Federal University of Minas Gerais, Belo Horizonte, Brazil, 1977. MSc in Applied Hydrology, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland, 1979. PhD in Civil and Environmental Engineering, University of Colorado at Boulder, Boulder, USA, 1994. From 1979 to 1989: Engineering Hydrologist at CEMIG, the Minas Gerais State power company. From 1989 to 2014: Professor of Civil and Environmental Engineering at the Brazilian Federal University of Minas Gerais with teaching, research and management responsibilities. Retired in 2014.


Textul de pe ultima copertă

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.

Caracteristici

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