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Please use this identifier to cite or link to this item:
http://krishi.icar.gov.in/jspui/handle/123456789/874
Title: | Detection of outliers in designed experiments in presence of masking |
Other Titles: | OUTLIERS IN PRESENCE OF MASKING |
Authors: | Lalmohan Bhar V.K. Gupta Rajender Parsad |
Published/ Complete Date: | 2013 |
Project Code: | Not Available |
Keywords: | Outliers, masking eigenvalue eigenvector |
Publisher: | Society of Statistics, Computer and Applications |
Citation: | Not Available |
Series/Report no.: | Not Available; |
Abstract/Description: | A method of identifying subset of outliers in presence of masking has been developed for designed experiments. An influence matrix comprising of Cook-statistics in its diagonal and product of two Cook-statistics in its off-diagonal positions has been defined. On the basis of eigenvectors corresponding to large eigenvalues of this matrix, the influential subsets can be identified. The proposed procedure has been illustrated with an example. |
Description: | Not Available |
Type(s) of content: | Research Paper |
Sponsors: | Not Available |
Language: | English |
Name of Journal: | Statistics and Applications |
NAAS Rating: | 5.76 |
Volume No.: | 11 (1&2) |
Page Number: | 147-160 |
Name of the Division/Regional Station: | Not Available |
Source, DOI or any other URL: | http://ssca.org.in/media/Paper10.pdf |
URI: | http://krishi.icar.gov.in/jspui/handle/123456789/874 |
Appears in Collections: | AEdu-IASRI-Publication |
Files in This Item:
File | Description | Size | Format | |
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Detection of outliers in designed experiments in presence of masking.pdf | 118.94 kB | Adobe PDF | View/Open |
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