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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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