• Corpus ID: 12073131

American Society for Quality Ridge Regression : Biased Estimation for Nonorthogonal Problems

@inproceedings{Hoerl2007AmericanSF,
  title={American Society for Quality Ridge Regression : Biased Estimation for Nonorthogonal Problems},
  author={Arthur E. Hoerl and Robert W. Kennard},
  year={2007}
}

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References

SHOWING 1-10 OF 32 REFERENCES
Ridge analysis
  • Chemical Engineering Progress Symposium Series
  • 1964
Factor Analysis and Regression
Selection of Variables for Fitting Equations to Data
Selecting a suitable equation to represent a set of multifactor data that was collected for other purposes in a plant, pilot-plant, or laboratory can be troublesome. If there are k independent
Selection of the Best Subset in Regression Analysis
The problem of selecting the best subset or subsets of independent variables in a multiple linear regression analysis is two-fold. The first, and most important problem is the development of
Ridge Regression: Applications to Nonorthogonal Problems
This paper is an exposition of the use of ridge regression methods. Two examples from the literature are used as a base. Attention is focused on the RIDGE TRACE which is a two-dimensional graphical
...
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