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STATISTICAL METHODS IN WATER RESOURCES

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STATISTICAL METHODS IN WATER RESOURCES

$18.49
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Product Details

Product Number
533012
Series
TM-4-A5
Scale
NO SCALE
Alternate ID
TM-4-A3
ISBN
978-1-4113-4348-1
Authors
DENNIS R HELSEL
Version Date
01/01/2020
Media
Paper
Format
Bound

Additional Details

Description
First posted May 22, 2020

For additional information, contact:

Chief, Analysis and Prediction Branch Integrated Modeling and Prediction Division Water Mission Area U.S. Geological Survey 12201 Sunrise Valley Dr., Mail Stop 415 Reston, VA 20192

Contact Pubs Warehouse

Abstract

This text began as a collection of class notes for a course on applied statistical methods for hydrologists taught at the U.S. Geological Survey (USGS) National Training Center. Course material was formalized and organized into a textbook, first published in 1992 by Elsevier as part of their Studies in Environmental Science series. In 2002, the work was made available online as a USGS report.

The text has now been updated as a USGS Techniques and Methods Report. It is intended to be a text in applied statistics for hydrology, environmental science, environmental engineering, geology, or biology that addresses distinctive features of environmental data. For example, water resources data tend to have many variables with a lower bound of zero, tend to be more skewed than data from many other disciplines, commonly contain censored data (less than values), and assumptions that the data are normally distributed are not appropriate. Computer-intensive methods (bootstrapping and permutation tests) now improve upon and replace the dependence on t-intervals, t-tests, and analysis of variance. A new chapter on sampling design addresses questions such as “How many observations do I need?” The chapter also presents distribution-free methods to help plan sampling efforts. The trends chapter has been updated to include the WRTDS (Weighted Regressions on Time, Discharge, and Season) method for analysis of water-quality data. This new version contains updated graphics and updated guidance on the use of statistical techniques. The text utilizes R, a programming language and open-source software environment, for all exercises and most graphics, and the R code used to generate figures and examples is provided for download.

Survey Date
2020
Print Date
2020
Height In Inches
11.000
Length In Inches
8.500
Two Sided
Yes
Pieces
1
Languages
English
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