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Graphical Displays for Alternate Regression Fits

  • John W. Tukey
Part of the The IMA Volumes in Mathematics and its Applications book series (IMA, volume 34)

Abstract

Regression is probably the single most widely used technique of data analysis. Multiple linear regression, where y is fitted by Σc j x j , is its most widely used special case. Techniques of robust regression, where fitting is to be effective in a more or less wide variety of uncomfortable circumstances, including the too-frequent occurence of large deviations, have been explored over the last few decades. Attention may also be needed to: (a) variability that depends systematically upon y and the x’s; (b) re-expression (transformation) of either y or one or more x’s; (c) data that can be divided into two or more portions, each of which can be much better fitted separately than together.

Keywords

Graphical Display Systematic Dependence Tuning Constant Covariance Matrice Versus Previous Iterative Step 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. Glazebrook, R. (1922), A Dictionary of Applied Physics, MacMillan.Google Scholar
  2. Morey, G.W. (1936), The phase rule and heterogeneous equilibrium, pages 233–293 of Volume 1 of a Commentary on the Scientific Writings of J. Willard Gibbs, Donnan, F.G. and Haas, A. eds. Yale University Press, New Haven.Google Scholar
  3. Mosteller, F., and Tukey, J.W. (1977), Data Analysis and Regression, Addison-Wesley Publishing Company, Reading, Massachusetts.Google Scholar

Copyright information

© Springer-Verlag New York, Inc. 1991

Authors and Affiliations

  • John W. Tukey
    • 1
  1. 1.Fine HallPrinceton UniversityPrincetonUSA

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