Matches in SemOpenAlex for { <https://semopenalex.org/work/W1505146721> ?p ?o ?g. }
Showing items 1 to 61 of
61
with 100 items per page.
- W1505146721 endingPage "134" @default.
- W1505146721 startingPage "127" @default.
- W1505146721 abstract "A method is proposed for the choice of the number of principal components in principal component regression based on the predicted error sum of squares. To do this, we approximately evaluate that statistic using a linear approximation based on the perturbation expansion. In this paper, we apply the proposed method to various data sets and discuss some properties in choosing the number of principal components in principal component regression." @default.
- W1505146721 created "2016-06-24" @default.
- W1505146721 creator A5016461619 @default.
- W1505146721 creator A5024687495 @default.
- W1505146721 date "1997-01-01" @default.
- W1505146721 modified "2023-10-16" @default.
- W1505146721 title "Numerical Investigations in Choosing the Number of Principal Components in Principal Component Regression - CASE I" @default.
- W1505146721 hasPublicationYear "1997" @default.
- W1505146721 type Work @default.
- W1505146721 sameAs 1505146721 @default.
- W1505146721 citedByCount "0" @default.
- W1505146721 crossrefType "journal-article" @default.
- W1505146721 hasAuthorship W1505146721A5016461619 @default.
- W1505146721 hasAuthorship W1505146721A5024687495 @default.
- W1505146721 hasConcept C105795698 @default.
- W1505146721 hasConcept C152877465 @default.
- W1505146721 hasConcept C27438332 @default.
- W1505146721 hasConcept C33923547 @default.
- W1505146721 hasConcept C48921125 @default.
- W1505146721 hasConcept C74887250 @default.
- W1505146721 hasConcept C83546350 @default.
- W1505146721 hasConcept C89128539 @default.
- W1505146721 hasConceptScore W1505146721C105795698 @default.
- W1505146721 hasConceptScore W1505146721C152877465 @default.
- W1505146721 hasConceptScore W1505146721C27438332 @default.
- W1505146721 hasConceptScore W1505146721C33923547 @default.
- W1505146721 hasConceptScore W1505146721C48921125 @default.
- W1505146721 hasConceptScore W1505146721C74887250 @default.
- W1505146721 hasConceptScore W1505146721C83546350 @default.
- W1505146721 hasConceptScore W1505146721C89128539 @default.
- W1505146721 hasIssue "2" @default.
- W1505146721 hasLocation W15051467211 @default.
- W1505146721 hasOpenAccess W1505146721 @default.
- W1505146721 hasPrimaryLocation W15051467211 @default.
- W1505146721 hasRelatedWork W102873416 @default.
- W1505146721 hasRelatedWork W1969905324 @default.
- W1505146721 hasRelatedWork W1970259187 @default.
- W1505146721 hasRelatedWork W1987968032 @default.
- W1505146721 hasRelatedWork W1993867461 @default.
- W1505146721 hasRelatedWork W2004927915 @default.
- W1505146721 hasRelatedWork W2019453762 @default.
- W1505146721 hasRelatedWork W2021576461 @default.
- W1505146721 hasRelatedWork W2040464743 @default.
- W1505146721 hasRelatedWork W2044135517 @default.
- W1505146721 hasRelatedWork W2078524864 @default.
- W1505146721 hasRelatedWork W2088858427 @default.
- W1505146721 hasRelatedWork W2092907118 @default.
- W1505146721 hasRelatedWork W2127484742 @default.
- W1505146721 hasRelatedWork W2796857501 @default.
- W1505146721 hasRelatedWork W2961370299 @default.
- W1505146721 hasRelatedWork W2963550944 @default.
- W1505146721 hasRelatedWork W3105712537 @default.
- W1505146721 hasRelatedWork W3134371490 @default.
- W1505146721 hasRelatedWork W2151300738 @default.
- W1505146721 hasVolume "8" @default.
- W1505146721 isParatext "false" @default.
- W1505146721 isRetracted "false" @default.
- W1505146721 magId "1505146721" @default.
- W1505146721 workType "article" @default.