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Regionalization of surface-water statistics using multiple linear regression

January 1, 2019

This report serves as a reference document in support of the regionalization of surface-water statistics using multiple linear regression. Streamflow statistics are quantitative characterizations of hydrology and are often derived from observed streamflow records. In the absence of observed streamflow records, as at unmonitored or ungaged locations, other techniques are required. Multiple linear regression is one tool that is widely used to regionalize or transfer information from gaged to ungaged locations. This report provides the background to support regression-based regionalization of streamflow statistics. This background includes tools for data assembly, exploratory data analysis, model estimation in a least-squares framework, and model evaluation.

Publication Year 2019
Title Regionalization of surface-water statistics using multiple linear regression
DOI 10.3133/tm4A12
Authors William H. Farmer, Julie E. Kiang, Toby D. Feaster, Ken Eng
Publication Type Report
Publication Subtype USGS Numbered Series
Series Title Techniques and Methods
Series Number 4-A12
Index ID tm4A12
Record Source USGS Publications Warehouse
USGS Organization WMA - Integrated Modeling and Prediction Division
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