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Please use this identifier to cite or link to this item:
http://krishi.icar.gov.in/jspui/handle/123456789/23605
Title: | Balanced Bipartite Generalized Row-Column Designs |
Other Titles: | Not Available |
Authors: | Anindita Datta Seema Jaggi cini Varghese Eldho Varghese |
ICAR Data Use Licennce: | http://krishi.icar.gov.in/PDF/ICAR_Data_Use_Licence.pdf |
Author's Affiliated institute: | ICAR::Indian Agricultural Statistics Research Institute |
Published/ Complete Date: | 2019-06-11 |
Project Code: | Not Available |
Keywords: | Row-column design Disjoint set Test treatments Control treatments Bipartite |
Publisher: | Not Available |
Citation: | Not Available |
Series/Report no.: | Not Available; |
Abstract/Description: | This article deals with generalized row-column designs when there are two sets of treatments, one set consisting of test treatments and the other of control treatments called Bipartite Generalized Row-Column Designs. The two sets are disjoint in the sense that there are no treatments in common between the two. The interest here is to estimate the contrasts pertaining to test treatments vs. control treatments with as high precision as possible. Series of Bipartite Generalized Row-Column designs for comparing a set of test treatments to a set of control treatments have been obtained. These designs ensure that all the contrasts pertaining to test vs. control are estimated with less variance in comparison to those pertaining to test vs. test treatments. |
Description: | Not Available |
ISSN: | Not Available |
Type(s) of content: | Research Paper |
Sponsors: | Not Available |
Language: | English |
Name of Journal: | Journal of Indian Society of Agricultural Statistics |
NAAS Rating: | 5.51 |
Volume No.: | 73(2) |
Page Number: | 121-128 |
Name of the Division/Regional Station: | Not Available |
Source, DOI or any other URL: | Not Available |
URI: | http://krishi.icar.gov.in/jspui/handle/123456789/23605 |
Appears in Collections: | AEdu-IASRI-Publication |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Anindita-ISAS-2019.pdf | 1.57 MB | Adobe PDF | View/Open |
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