| Abstract: | Nonlinear multiple regression methods are developed to model and analyze groundwater flow systems. Complete descriptions of regression methodology as applied to groundwater flow models allow scientists and engineers engaged in flow modeling to apply the methods to a wide range of problems. Organization of the text proceeds from an introduction that discusses the general topic of groundwater flow modeling, to a review of basic statistics necessary to properly apply regression techniques, and then to the main topic: exposition and use of linear and nonlinear regression to model groundwater flow. Statistical procedures are given to analyze and use the regression models. A number of exercises and answers are included to exercise the student on nearly all the methods that are presented for modeling and statistical analysis. Three computer programs implement the more complex methods. These three are a general two-dimensional, steady-state regression model for flow in an anisotropic, heterogeneous porous medium, a program to calculate a measure of model nonlinearity with respect to the regression parameters, and a program to analyze model errors in computed dependent variables such as hydraulic head. (USGS) |
| Genre: | USGS Numbered Series |
| ProdID: | 13162 |
| Citation Author: | Cooley, R. L.; Naff, R. L. |
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| Citation Language: | ENGLISH |
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| Citation Phsyical Description: | xvii, 450 p. :ill. ;28 cm. |
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| Citation Publisher: | U.S. Geological Survey, |
| Citation Series: | Open-File Report |
| Citation Series Code: | OFR |
| Citation Series Number: | 85-180 |
| Citation Search Results Text: | Regression modeling of ground-water flow; 1985; OFR; 85-180; Cooley, R. L.; Naff, R. L. |
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| Citation Year: | 1985 |
| Type: | citation/reference |
| Text: | Regression modeling of ground-water flow; 1985; OFR; 85-180; Cooley, R. L.; Naff, R. L. |
| URL (THUMBNAIL): | http://pubs.er.usgs.gov/thumbnails/usgs_thumb.jpg |
| Date Other: | Sat, 1 Jan 1994 00:00 -0600 |
| Publisher: | U.S. Geological Survey, |
| Superseded by: |
http://pubs.er.usgs.gov/publication/twri03B4
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