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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

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