A comparison of some classical approaches to outlier detection in linear regression and an approach based on adaptively-ordered recursive residuals.

Simple item page
dc.contributor.authorKatz, Leo
dc.contributor.authorSwallow, William H.
dc.date.accessioned2014-11-19T16:32:45Z
dc.date.available2014-11-19T16:32:45Z
dc.date.issued1987
dc.format.extent705845 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypeapplication/pdf
dc.identifier.urihttp://www.stat.ncsu.edu/information/library/mimeo.archive/ISMS__1906.pdf
dc.identifier.urihttp://www.lib.ncsu.edu/resolver/1840.4/8366
dc.language.isoen
dc.publisherNorth Carolina State University. Dept. of Statistics
dc.relation.ispartofseriesInstitute of Statistics mimeo series
dc.relation.ispartofseries1906
dc.titleA comparison of some classical approaches to outlier detection in linear regression and an approach based on adaptively-ordered recursive residuals.
dc.typeTechnical report

Files

Original bundle

Now showing 1 - 1 of 1
No Thumbnail Available
Name:
ISMS__1906.pdf
Size:
689.3 KB
Format:
Adobe Portable Document Format
Download

Collections

Institute of Statistics Mimeo Series