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Please use this identifier to cite or link to this item:
http://krishi.icar.gov.in/jspui/handle/123456789/4091
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Raju Kumar | en_US |
dc.contributor.author | Lalmohan Bhar | en_US |
dc.date.accessioned | 2017-05-19T05:27:46Z | - |
dc.date.available | 2017-05-19T05:27:46Z | - |
dc.date.issued | 2016-10 | - |
dc.identifier.citation | Not Available | en_US |
dc.identifier.issn | Not Available | - |
dc.identifier.uri | http://krishi.icar.gov.in/jspui/handle/123456789/4091 | - |
dc.description | Not Available | en_US |
dc.description.abstract | Identification of outlier vectors in block designs for incomplete multi-response experiments has been considered. Design is composed of two sets of experimental units. Different numbers of response variables are observed from these two sets. Cook-statistic has been developed for identification of outliers. The developed statistic has been illustrated with a real life data set. It has been shown that presence of outliers can distort the overall conclusion from an experiment. | en_US |
dc.description.sponsorship | Not Available | en_US |
dc.language.iso | English | en_US |
dc.publisher | Taylor & Francis | en_US |
dc.relation.ispartofseries | Not Available; | - |
dc.subject | Not Available | en_US |
dc.title | Outliers in Incomplete Multi-response Experiments | en_US |
dc.title.alternative | Not Available | en_US |
dc.type | Research Paper | en_US |
dc.publication.projectcode | Not Available | en_US |
dc.publication.journalname | Communications in Statistics - Theory and Methods | en_US |
dc.publication.volumeno | Not Available | en_US |
dc.publication.pagenumber | Not Available | en_US |
dc.publication.divisionUnit | Not Available | en_US |
dc.publication.sourceUrl | http://dx.doi.org/10.1080/03610926.2016.1235199 | en_US |
dc.publication.naasrating | 6.61 | - |
Appears in Collections: | AEdu-IASRI-Publication |
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