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Cited by 625

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Regressions by Leaps and Bounds

Furnival, George M., Wilson, Robert W.·1974·Technometrics

Abstract

This paper describes several algorithms for computing the residual sums of squares for all possible regressions with what appears to be a minimum of arithmetic (less than six floating-point operations per regression) and shows how two of these algorithms can be combined to form a simple leap and bolmd technique for finding the best subsets without examining all possible subsets. The resldt is a reduction of several orders of magnitude in the nllmber of operations reqllired to find the best subsets.

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Crossref · 10.1080/00401706.1974.10489231

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Metadata

Authors
Furnival, G. M., & Wilson, R. W.
Venue
Technometrics
Published
1974-11
Volume
16
Issue
4
Pages
499-511
ISSN
  • 0040-1706 (ISSN-L)
  • 1537-2723
OpenAlex
W4205337121
Cited by
625
References
0
FWCI
2.56
Type
journal article
Language
en
Open access
closed

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.