File Download

There are no files associated with this item.

Supplementary

Book Chapter: Improving Attribute Classification Accuracy In High Dimensional Data: A Four-step Latent Regression Approach

TitleImproving Attribute Classification Accuracy In High Dimensional Data: A Four-step Latent Regression Approach
Authors
Sun, Yde la Torre, J
Issue Date2020
PublisherInformation Age Publishing
Citation
Improving Attribute Classification Accuracy In High Dimensional Data: A Four-step Latent Regression Approach. In Jiao, H & Lissitz, RW (Eds.), Innovative Psychometric Modeling and Method, p. 17-44. Charlotte, NC: Information Age Publishing, 2020 How to Cite?
Persistent Identifierhttp://hdl.handle.net/10722/289945
ISBN
9781648022234
Series/Report no.The MARCES

 

DC FieldValueLanguage
dc.contributor.authorSun, Y-
dc.contributor.authorde la Torre, J-
dc.date.accessioned2020-10-22T08:19:43Z-
dc.date.available2020-10-22T08:19:43Z-
dc.date.issued2020-
dc.identifier.citationImproving Attribute Classification Accuracy In High Dimensional Data: A Four-step Latent Regression Approach. In Jiao, H & Lissitz, RW (Eds.), Innovative Psychometric Modeling and Method, p. 17-44. Charlotte, NC: Information Age Publishing, 2020-
dc.identifier.isbn9781648022234-
dc.identifier.urihttp://hdl.handle.net/10722/289945-
dc.languageeng-
dc.publisherInformation Age Publishing-
dc.relation.ispartofInnovative Psychometric Modeling and Method-
dc.relation.ispartofseriesThe MARCES-
dc.titleImproving Attribute Classification Accuracy In High Dimensional Data: A Four-step Latent Regression Approach-
dc.typeBook_Chapter-
dc.identifier.emailde la Torre, J: j.delatorre@hku.hk-
dc.identifier.authorityde la Torre, J=rp02159-
dc.identifier.hkuros317591-
dc.identifier.spage17-
dc.identifier.epage44-
dc.publisher.placeCharlotte, NC-

Export via OAI-PMH Interface in XML Formats

OR

Export to Other Non-XML Formats