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Error bounds in cascading regressions

Journal of the International Association for Mathematical Geology

By:
,
DOI: 10.1007/BF01034754

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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.

Additional Publication Details

Publication type:
Article
Publication Subtype:
Journal Article
Title:
Error bounds in cascading regressions
Series title:
Journal of the International Association for Mathematical Geology
DOI:
10.1007/BF01034754
Volume
17
Issue:
3
Year Published:
1985
Language:
English
Publisher location:
Kluwer Academic Publishers-Plenum Publishers
Larger Work Type:
Article
Larger Work Subtype:
Journal Article
First page:
287
Last page:
295
Number of Pages:
9