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Please use this identifier to cite or link to this item:
http://krishi.icar.gov.in/jspui/handle/123456789/4379
Title: | Computer generated change over designs for correlated observations |
Other Titles: | Not Available |
Authors: | Subrata Kumar Satpati V.K. Gupta Rajender Parsad M.L. Aggarwal |
Published/ Complete Date: | 2012-09-04 |
Project Code: | Not Available |
Keywords: | Change-over design Direct effects First-order autoregressive correlation structure First-order residual effects Information matrix |
Publisher: | Taylor and Francis Group |
Citation: | Satpati, S.K., Gupta, V.K., Parsad, Rajender and Aggarwal, M.L. (2012). Computer generated change over designs for correlated observations. Communications-in-Statistics: Theory & Methods, 41, 3786-3798 |
Series/Report no.: | Not Available; |
Abstract/Description: | Change-over designs with independently distributed errors in the model have been studied extensively in the literature. Martin and Eccleston (2001) gave an algorithm for the generation of efficient change-over designs when the errors are correlated. This article proposes an algorithm for the generation of efficient change-over designs for estimation of direct effects of treatments in the presence of first-order residual effects in the model and when the errors are correlated. |
Description: | Not Available |
ISSN: | Not Available |
Type(s) of content: | Research Paper |
Sponsors: | Not Available |
Language: | English |
Name of Journal: | Communications in Statistics - Theory and Methods |
NAAS Rating: | 6.61 |
Volume No.: | 41(20) |
Page Number: | 3786-3798 |
Name of the Division/Regional Station: | Not Available |
Source, DOI or any other URL: | http://dx.doi.org/10.1080/03610926.2011.563010 http://www.tandfonline.com/doi/abs/10.1080/03610926.2011.563010 |
URI: | http://krishi.icar.gov.in/jspui/handle/123456789/4379 |
Appears in Collections: | AEdu-IASRI-Publication |
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