Understanding Mathematical and Statistical Techniques in Hydrology Understanding Mathematical and Statistical Techniques in Hydrology

Understanding Mathematical and Statistical Techniques in Hydrology

An Examples-based Approach

    • 52,99 €
    • 52,99 €

Beschreibung des Verlags

Pick up any hydrology textbook and it will not be long before you encounter pages listing sequences of equations representing complex mathematical concepts. Students and practitioners of hydrology will not find this very helpful, as their aim, generally, is to study and understand hydrology, and not to find themselves confronted with material that even students of mathematics would find challenging. Often, equations appear to be copied and pasted into hydrological texts in an attempt to give a more rigorous scientific basis to the narrative. However, they are commonly wrong, poorly explained, without context or background, and more likely to confuse and distance the reader than to enlighten and engage them in the topic.

Understanding Mathematical and Statistical Techniques in Hydrology provides full and detailed expositions of such equations and mathematical concepts, commonly used in hydrology. In contrast to other hydrological texts, instead of presenting abstract mathematical hydrology, the essential mathematics is explained with the help of real-world hydrological examples.

GENRE
Gewerbe und Technik
ERSCHIENEN
2015
2. November
SPRACHE
EN
Englisch
UMFANG
104
Seiten
VERLAG
Wiley
ANBIETERINFO
John Wiley & Sons Ltd
GRÖSSE
4,1
 MB
How to be a Quantitative Ecologist How to be a Quantitative Ecologist
2011
Mathematical Methods for Engineers and Geoscientists Mathematical Methods for Engineers and Geoscientists
2008
Statistics for Earth and Environmental Scientists Statistics for Earth and Environmental Scientists
2011
Dynamic Data Analysis Dynamic Data Analysis
2017
Statistical Methods for Trend Detection and Analysis in the Environmental Sciences Statistical Methods for Trend Detection and Analysis in the Environmental Sciences
2011
Nonlinear Regression Modeling for Engineering Applications Nonlinear Regression Modeling for Engineering Applications
2016