4.5 Article

The specification of rank reducing observation sets in experimental design

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COMPUTATIONAL STATISTICS & DATA ANALYSIS
卷 51, 期 3, 页码 1862-1874

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ELSEVIER SCIENCE BV
DOI: 10.1016/j.csda.2005.12.003

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connected design; contrasts; estimability; linear models; missing observations; robust design

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If observations are lost from an experiment involving one or more forms of blocking, it can happen that the resultant design is treatment disconnected which has serious implications for the experiment. A method is described in this paper for specifying each set of observations which has the property that a treatment disconnected design will result if this observation set is missing. Some implications for two-replicate designs are described and four applications that portray the value of the method are discussed. (c) 2005 Elsevier B.V. All rights reserved.

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