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Stochastic models and field trials

Published online by Cambridge University Press:  14 July 2016

M. S. Bartlett
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Abstract

A survey of the development of statistical techniques of field experimentation refers to the unified approach of R. A. Fisher, in which analysis and design were closely linked. Randomization of treatment positions bypassed the need for a precise stochastic model, but sometimes at the cost of diminished accuracy.

Alternative covariance methods associated with the name of J. S. Papadakis, taking note of the yields of neighbouring plots, have stimulated much research in recent years. The results to date suggest that, while improved accuracy can often be achieved, the assessment of accuracy is more dependent on the stochastic model. Robust methods for such assessment still need to be finalized; with these alternative methods a closer link between analysis and design is also advocated.

Keywords

COVARIANCEPAPADAKIS METHODRANDOMIZATIONSEMI-SYSTEMATIC DESIGNS
Type
Part 3 - Stochastic Models in Biology and Field Trials
Information
Journal of Applied Probability , Volume 25 , Issue A , 1988 , pp. 79 - 89
Copyright
Copyright © Applied Probability Trust 1988 

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