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Book Chapter: Improving Attribute Classification Accuracy In High Dimensional Data: A Four-step Latent Regression Approach
Title | Improving Attribute Classification Accuracy In High Dimensional Data: A Four-step Latent Regression Approach |
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Authors | |
Issue Date | 2020 |
Publisher | Information 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 Identifier | http://hdl.handle.net/10722/289945 |
ISBN | |
Series/Report no. | The MARCES |
DC Field | Value | Language |
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dc.contributor.author | Sun, Y | - |
dc.contributor.author | de la Torre, J | - |
dc.date.accessioned | 2020-10-22T08:19:43Z | - |
dc.date.available | 2020-10-22T08:19:43Z | - |
dc.date.issued | 2020 | - |
dc.identifier.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 | - |
dc.identifier.isbn | 9781648022234 | - |
dc.identifier.uri | http://hdl.handle.net/10722/289945 | - |
dc.language | eng | - |
dc.publisher | Information Age Publishing | - |
dc.relation.ispartof | Innovative Psychometric Modeling and Method | - |
dc.relation.ispartofseries | The MARCES | - |
dc.title | Improving Attribute Classification Accuracy In High Dimensional Data: A Four-step Latent Regression Approach | - |
dc.type | Book_Chapter | - |
dc.identifier.email | de la Torre, J: j.delatorre@hku.hk | - |
dc.identifier.authority | de la Torre, J=rp02159 | - |
dc.identifier.hkuros | 317591 | - |
dc.identifier.spage | 17 | - |
dc.identifier.epage | 44 | - |
dc.publisher.place | Charlotte, NC | - |