Fundamentals of Statistical Hydrology

Nonfiction, Science & Nature, Technology, Engineering, Civil, Science, Earth Sciences
Cover of the book Fundamentals of Statistical Hydrology by , Springer International Publishing
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: ISBN: 9783319435619
Publisher: Springer International Publishing Publication: October 26, 2016
Imprint: Springer Language: English
Author:
ISBN: 9783319435619
Publisher: Springer International Publishing
Publication: October 26, 2016
Imprint: Springer
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

More books from Springer International Publishing

Cover of the book Mixed Method Research Design by
Cover of the book Early Career Academics in New Zealand: Challenges and Prospects in Comparative Perspective by
Cover of the book Renewable and Sustainable Materials in Green Technology by
Cover of the book Earthquake Geotechnical Engineering Design by
Cover of the book Gothic Landscapes by
Cover of the book An Introduction to Complex Systems by
Cover of the book Social Entrepreneurship in Non-Profit and Profit Sectors by
Cover of the book Complex, Intelligent, and Software Intensive Systems by
Cover of the book Literature, Pedagogy, and Curriculum in Secondary Education by
Cover of the book Porous Carbons – Hyperbranched Polymers – Polymer Solvation by
Cover of the book Hegel, Marx, and the Necessity and Freedom Dialectic by
Cover of the book Introduction to Calculus and Classical Analysis by
Cover of the book Machine Learning and Data Mining for Sports Analytics by
Cover of the book Advances in Knowledge Discovery and Data Mining by
Cover of the book Advances in Direct Methods for Materials and Structures by
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy