July 2012
Intermediate to advanced
352 pages
9h 30m
English
book
Common Errors in Statistics (and How to Avoid Them), 4th Edition
by Phillip I. Good, James W. Hardin
Content preview from Common Errors in Statistics (and How to Avoid Them), 4th Edition
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SUMMARY
In this chapter, we distinguished linear from nonlinear regression and described a number of alternatives to ordinary least squares regression, including least absolute deviation regression, and quantile regression. We also noted the importance of using separate regression equations for each identifiable stratum.
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