Matches in SemOpenAlex for { <https://semopenalex.org/work/W1997698151> ?p ?o ?g. }
Showing items 1 to 93 of
93
with 100 items per page.
- W1997698151 endingPage "6" @default.
- W1997698151 startingPage "1" @default.
- W1997698151 abstract "Although it is generally felt that the all-subsets, or “best” subset, approach is better than forward selection and backward elimination, the sequential procedures are still widely used. To see what advantage there is in doing all-subsets, this paper gtves both theoretical and empirical comparisons. It is shown that the difference in favor of all-subsets can be arbitrarily large in examples where there are predictors which do poorly alone but do very well together. Also. empirical comparisons on nine data sets show big dilrerences favoring all-subsets, when the differences are measured on the data (sample values). However, fairer comparisons based on known population values show very small differences favoring all-subsets. The only exception is the one data set which has predictors which do well together but poorly alone." @default.
- W1997698151 created "2016-06-24" @default.
- W1997698151 creator A5022880155 @default.
- W1997698151 date "1978-02-01" @default.
- W1997698151 modified "2023-10-11" @default.
- W1997698151 title "Comparing Subset Regression Procedures" @default.
- W1997698151 cites W2022989308 @default.
- W1997698151 cites W2023720594 @default.
- W1997698151 cites W2047907856 @default.
- W1997698151 cites W2073309164 @default.
- W1997698151 cites W2075459872 @default.
- W1997698151 cites W2094213028 @default.
- W1997698151 cites W2095058394 @default.
- W1997698151 cites W2096340072 @default.
- W1997698151 cites W2146094182 @default.
- W1997698151 cites W2164197646 @default.
- W1997698151 cites W4205337121 @default.
- W1997698151 cites W4246048519 @default.
- W1997698151 doi "https://doi.org/10.1080/00401706.1978.10489609" @default.
- W1997698151 hasPublicationYear "1978" @default.
- W1997698151 type Work @default.
- W1997698151 sameAs 1997698151 @default.
- W1997698151 citedByCount "100" @default.
- W1997698151 countsByYear W19976981512012 @default.
- W1997698151 countsByYear W19976981512013 @default.
- W1997698151 countsByYear W19976981512014 @default.
- W1997698151 countsByYear W19976981512015 @default.
- W1997698151 countsByYear W19976981512016 @default.
- W1997698151 countsByYear W19976981512017 @default.
- W1997698151 countsByYear W19976981512018 @default.
- W1997698151 countsByYear W19976981512020 @default.
- W1997698151 countsByYear W19976981512021 @default.
- W1997698151 countsByYear W19976981512022 @default.
- W1997698151 countsByYear W19976981512023 @default.
- W1997698151 crossrefType "journal-article" @default.
- W1997698151 hasAuthorship W1997698151A5022880155 @default.
- W1997698151 hasConcept C105795698 @default.
- W1997698151 hasConcept C129848803 @default.
- W1997698151 hasConcept C149782125 @default.
- W1997698151 hasConcept C154945302 @default.
- W1997698151 hasConcept C177264268 @default.
- W1997698151 hasConcept C183905921 @default.
- W1997698151 hasConcept C185592680 @default.
- W1997698151 hasConcept C198531522 @default.
- W1997698151 hasConcept C199360897 @default.
- W1997698151 hasConcept C2908647359 @default.
- W1997698151 hasConcept C33923547 @default.
- W1997698151 hasConcept C41008148 @default.
- W1997698151 hasConcept C43617362 @default.
- W1997698151 hasConcept C58489278 @default.
- W1997698151 hasConcept C71924100 @default.
- W1997698151 hasConcept C81917197 @default.
- W1997698151 hasConcept C83546350 @default.
- W1997698151 hasConcept C99454951 @default.
- W1997698151 hasConceptScore W1997698151C105795698 @default.
- W1997698151 hasConceptScore W1997698151C129848803 @default.
- W1997698151 hasConceptScore W1997698151C149782125 @default.
- W1997698151 hasConceptScore W1997698151C154945302 @default.
- W1997698151 hasConceptScore W1997698151C177264268 @default.
- W1997698151 hasConceptScore W1997698151C183905921 @default.
- W1997698151 hasConceptScore W1997698151C185592680 @default.
- W1997698151 hasConceptScore W1997698151C198531522 @default.
- W1997698151 hasConceptScore W1997698151C199360897 @default.
- W1997698151 hasConceptScore W1997698151C2908647359 @default.
- W1997698151 hasConceptScore W1997698151C33923547 @default.
- W1997698151 hasConceptScore W1997698151C41008148 @default.
- W1997698151 hasConceptScore W1997698151C43617362 @default.
- W1997698151 hasConceptScore W1997698151C58489278 @default.
- W1997698151 hasConceptScore W1997698151C71924100 @default.
- W1997698151 hasConceptScore W1997698151C81917197 @default.
- W1997698151 hasConceptScore W1997698151C83546350 @default.
- W1997698151 hasConceptScore W1997698151C99454951 @default.
- W1997698151 hasIssue "1" @default.
- W1997698151 hasLocation W19976981511 @default.
- W1997698151 hasOpenAccess W1997698151 @default.
- W1997698151 hasPrimaryLocation W19976981511 @default.
- W1997698151 hasRelatedWork W1986523067 @default.
- W1997698151 hasRelatedWork W2149531899 @default.
- W1997698151 hasRelatedWork W2150028354 @default.
- W1997698151 hasRelatedWork W2307799538 @default.
- W1997698151 hasRelatedWork W2496077116 @default.
- W1997698151 hasRelatedWork W2900695351 @default.
- W1997698151 hasRelatedWork W3082212156 @default.
- W1997698151 hasRelatedWork W3152660226 @default.
- W1997698151 hasRelatedWork W4243140484 @default.
- W1997698151 hasRelatedWork W4293088233 @default.
- W1997698151 hasVolume "20" @default.
- W1997698151 isParatext "false" @default.
- W1997698151 isRetracted "false" @default.
- W1997698151 magId "1997698151" @default.
- W1997698151 workType "article" @default.