| Abstract: | Cascading regressions is a technique for predicting a value of a dependent variable when no paired measurements exist to perform a standard regression analysis. Biases in coefficients of a cascaded-regression line as well as error variance of points about the line are functions of the correlation coefficient between dependent and independent variables. Although this correlation cannot be computed because of the lack of paired data, bounds can be placed on errors through the required properties of the correlation coefficient. The potential meansquared error of a cascaded-regression prediction can be large, as illustrated through an example using geomorphologic data. ?? 1985 Plenum Publishing Corporation. |
| Genre: | Article |
| ProdID: | 70012795 |
| Citation Author: | Karlinger, M. R.; Troutman, B. M. |
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| Citation End Page: | 295 |
| Citation Issue: | 3 |
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| Citation Language: | English |
| Citation Larger Work Title: | Journal of the International Association for Mathematical Geology |
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| Citation Number Of Pages: | 9 |
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| Citation Search Results Text: | Error bounds in cascading regressions; 1985; Article; Journal; Journal of the International Association for Mathematical Geology; Karlinger, M. R.; Troutman, B. M. |
| Citation Start Page: | 287 |
| Citation Volume: | 17 |
| Citation Year: | 1985 |
| Type: | citation/reference |
| Text: | Error bounds in cascading regressions; 1985; Article; Journal; Journal of the International Association for Mathematical Geology; Karlinger, M. R.; Troutman, B. M. |
| URL (THUMBNAIL): | http://pubs.er.usgs.gov/thumbnails/outside_thumb.jpg |
| URL (DIGITAL OBJECT IDENTIFIER): | http://dx.doi.org/10.1007/BF01034754 |
| Date Other: | Tue, 1 Jan 1985 00:00 -0600 |
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