Understanding Mathematical and Statistical Techniques in Hydrology
Language: English
Published by Wiley Jan 2016, 2016
- Hardcover
- New
Seller: Wegmann1855, Zwiesel, GermanyWegmann1855
AbeBooks seller since June 2, 2022
Condition: New
£ 51.64
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Add to basketItem description from seller
Neuware -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.…
Seller Inventory # 9781444335491
- Title
- Understanding Mathematical and Statistical Techniques in Hydrology
- Author
- Max A Little
- Publisher
- Wiley Jan 2016
- Publication year
- 2016
- Condition
- Neu
- Binding
- Buch
- Language
- English
- ISBN 10
- 1444335499
- ISBN 13
- 9781444335491
- Item weight
- 368 grams
- Dimensions
- 251x174x12 mm
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.
"Synopsis" may belong to another edition of this title.
About the Author
Professor Max A. Little began his career writing software, signal processing algorithms and music for video games, then moved on by way of a degree in mathematics to the University of Oxford. After postdoc positions in Oxford investigating rainfall and biophysical time series data, he won a Wellcome Trust fellowship at MIT to follow up on his doctoral research work in behavioural and biomedical signal processing. He is currently an associate professor of mathematics at Aston University and a visiting professor at MIT's Media Lab.
"About the title" may belong to another edition of this title.
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