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The Analysis of Designed Experiments with Missing Observations

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  • Richard G. Jarrett

Abstract

This paper examines published methods for analysing designed experiments with missing observations. An exact method originated by Wilkinson is shown to be a viable alternative to the more commonly used iterative techniques. It has the advantage that, from a small number of standard analyses of the design using specially constructed data vectors, a full and accurate analysis of the observed data can be obtained.

Suggested Citation

  • Richard G. Jarrett, 1978. "The Analysis of Designed Experiments with Missing Observations," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 27(1), pages 38-46, March.
    • Handle: RePEc:bla:jorssc:v:27:y:1978:i:1:p:38-46
    DOI: 10.2307/2346224
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    Cited by:

    1. Godolphin, J.D., 2006. "The specification of rank reducing observation sets in experimental design," Computational Statistics & Data Analysis, Elsevier, vol. 51(3), pages 1862-1874, December.

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