File Download
There are no files associated with this item.
Links for fulltext
(May Require Subscription)
- Publisher Website: 10.2307/2532839
- Scopus: eid_2-s2.0-0030448963
- WOS: WOS:A1996VX80400007
- Find via
Supplementary
- Citations:
- Appears in Collections:
Article: Diagnosing influential observations in quadratic discriminant analysis
Title | Diagnosing influential observations in quadratic discriminant analysis |
---|---|
Authors | |
Keywords | Case Deletion Diagnostic Measures Outliers And Influential Observations Quadratic Discriminant Analysis Simulated Confidence Envelope |
Issue Date | 1996 |
Publisher | Blackwell Publishing Ltd. The Journal's web site is located at http://www.blackwellpublishing.com/journals/BIOM |
Citation | Biometrics, 1996, v. 52 n. 4, p. 1235-1241 How to Cite? |
Abstract | We propose various diagnostic measures for the identification of observations that are influential for the estimation of probability density functions, probabilities, and log odds in quadratic discriminant analysis. The quantile-quantile (Q-Q) plots together with simulated confidence envelopes are found to be useful for detecting influential observations in a data set of two species of biting flies that are so similar that they are difficult to discriminate morphologically. We find that the omission of even one case in the data set can have a very great effect on the estimated probabilities that the observations belong to a particular group. |
Persistent Identifier | http://hdl.handle.net/10722/172373 |
ISSN | 2023 Impact Factor: 1.4 2023 SCImago Journal Rankings: 1.480 |
ISI Accession Number ID | |
References |
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Fung, WK | en_US |
dc.date.accessioned | 2012-10-30T06:22:11Z | - |
dc.date.available | 2012-10-30T06:22:11Z | - |
dc.date.issued | 1996 | en_US |
dc.identifier.citation | Biometrics, 1996, v. 52 n. 4, p. 1235-1241 | en_US |
dc.identifier.issn | 0006-341X | en_US |
dc.identifier.uri | http://hdl.handle.net/10722/172373 | - |
dc.description.abstract | We propose various diagnostic measures for the identification of observations that are influential for the estimation of probability density functions, probabilities, and log odds in quadratic discriminant analysis. The quantile-quantile (Q-Q) plots together with simulated confidence envelopes are found to be useful for detecting influential observations in a data set of two species of biting flies that are so similar that they are difficult to discriminate morphologically. We find that the omission of even one case in the data set can have a very great effect on the estimated probabilities that the observations belong to a particular group. | en_US |
dc.language | eng | en_US |
dc.publisher | Blackwell Publishing Ltd. The Journal's web site is located at http://www.blackwellpublishing.com/journals/BIOM | en_US |
dc.relation.ispartof | Biometrics | en_US |
dc.rights | Biometrics. Copyright © Blackwell Publishing Ltd. | - |
dc.subject | Case Deletion | en_US |
dc.subject | Diagnostic Measures | en_US |
dc.subject | Outliers And Influential Observations | en_US |
dc.subject | Quadratic Discriminant Analysis | en_US |
dc.subject | Simulated Confidence Envelope | en_US |
dc.title | Diagnosing influential observations in quadratic discriminant analysis | en_US |
dc.type | Article | en_US |
dc.identifier.email | Fung, WK: wingfung@hku.hk | en_US |
dc.identifier.authority | Fung, WK=rp00696 | en_US |
dc.description.nature | link_to_subscribed_fulltext | en_US |
dc.identifier.doi | 10.2307/2532839 | en_US |
dc.identifier.scopus | eid_2-s2.0-0030448963 | en_US |
dc.identifier.hkuros | 26792 | - |
dc.relation.references | http://www.scopus.com/mlt/select.url?eid=2-s2.0-0030448963&selection=ref&src=s&origin=recordpage | en_US |
dc.identifier.volume | 52 | en_US |
dc.identifier.issue | 4 | en_US |
dc.identifier.spage | 1235 | en_US |
dc.identifier.epage | 1241 | en_US |
dc.identifier.isi | WOS:A1996VX80400007 | - |
dc.publisher.place | United Kingdom | en_US |
dc.identifier.scopusauthorid | Fung, WK=13310399400 | en_US |
dc.identifier.issnl | 0006-341X | - |