Computer generated change over designs for correlated observations
KRISHI: Publication and Data Inventory Repository
View Archive InfoField | Value | |
Title |
Computer generated change over designs for correlated observations
Not Available |
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Creator |
Subrata Kumar Satpati
V.K. Gupta Rajender Parsad M.L. Aggarwal |
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Subject |
Change-over design
Direct effects First-order autoregressive correlation structure First-order residual effects Information matrix |
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Description |
Not Available
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. Not Available |
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Date |
2017-06-22T04:13:22Z
2017-06-22T04:13:22Z 2012-09-04 |
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Type |
Research Paper
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Identifier |
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
Not Available http://krishi.icar.gov.in/jspui/handle/123456789/4379 |
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Language |
English
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Relation |
Not Available;
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Publisher |
Taylor and Francis Group
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