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.
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.
![Fundamentals of Statistical Hydrology](http://vs-images.bn-web.com/static/redesign/srcs/images/grey-box.png?v11.11.4)
Fundamentals of Statistical Hydrology
![Fundamentals of Statistical Hydrology](http://vs-images.bn-web.com/static/redesign/srcs/images/grey-box.png?v11.11.4)
Fundamentals of Statistical Hydrology
eBook(1st ed. 2017)
Related collections and offers
Product Details
ISBN-13: | 9783319435619 |
---|---|
Publisher: | Springer-Verlag New York, LLC |
Publication date: | 10/26/2016 |
Sold by: | Barnes & Noble |
Format: | eBook |
File size: | 10 MB |