Abstract
The present position of the art of field experimentation is one of rather special interest. For more than fifteen years the attention of agriculturalists has been turned to the errors of field experiments. During this period, experiments of the uniformity trial type have demonstrated the magnitude and ubiquity of that class of error which cannot be ascribed to carelessness in measuring the land or weighing the produce, and which is consequently described as due to “soil heterogeneity”; much ingenuity has been expended in devising plans for the proper arrangement of the plots; and not without result, for there can be little doubt that the standard of accuracy has been materially, though very irregularly, raised. What makes the present position interesting is that it is now possible to demonstrate (a) that the actual position of the problem is very much more intricate than was till recently imagined, but that realising this (b) the problem itself becomes much more definite and (c) its solution correspondingly more rigorous.
Keywords
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
R. A. Fisher, Statistical Methods for Research Workers. ( Oliver & Boyd, Edinburgh, 1925 ).
“Student”: On Testing Parities of Cereals. (Biometrika. XV, pp. 271–293, 1923.)
Sir John Russell: Field Experiments: How They are Made and What They are. (Jour. Min. Agric.. XXXII. 1926, pp. 989–1001.)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1992 Springer-Verlag New York, Inc.
About this chapter
Cite this chapter
Fisher, R.A. (1992). The Arrangement of Field Experiments. In: Kotz, S., Johnson, N.L. (eds) Breakthroughs in Statistics. Springer Series in Statistics. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-4380-9_8
Download citation
DOI: https://doi.org/10.1007/978-1-4612-4380-9_8
Publisher Name: Springer, New York, NY
Print ISBN: 978-0-387-94039-7
Online ISBN: 978-1-4612-4380-9
eBook Packages: Springer Book Archive