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On the Application of Probability Theory to Agricultural Experiments. Essay on Principles. Section 9

Bibliographic Data

ID23324831
AuthorsJerzy Splawa-Neyman, D M Dabrowska, Terence P Speed (0000-0002-5403-7998)
Year1990
Volume5
Issue4
Publication date1990-11-01
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueStatistical Science (JOURNAL)
Journal identifiersISSN: 0883-4237 • E-ISSN: 2168-8745
PublisherInstitute of Mathematical Statistics (PUBLISHER • US)
DOI10.1214/ss/1177012031
OpenAlexW1490576214
LanguageEN
Citations received176

In the portion of the paper translated here, Neyman introduces a model for the analysis of field experiments conducted for the purpose of comparing a number of crop varieties, which makes use of a double-indexed array of unknown potential yields, one index corresponding to varieties and the other to plots. The yield corresponding to only one variety will be observed on any given plot, but through an urn model embodying sampling without replacement from this doubly indexed array, Neyman obtains a formula for the variance of the difference between the averages of the observed yields of two varieties. This variance involves the variance over all plots of the potential yields and the correlation coefficient $r$ between the potential yields of the two varieties on the same plot. Since it is impossible to estimate $r$ directly, Neyman advises taking $r = 1$, observing that in practice this may lead to using too large an estimated standard deviation, when comparing two variety means.

Econometrics · Field (mathematics) · Plot (graphics) · Pure mathematics · Sampling (signal processing) · Section (typography) · Statistics · Variance (accounting) · Variety (cybernetics) · Yield (engineering) · Computer Science · Genetics and Plant Breeding · Mathematics · Optimal Experimental Design Methods · Statistical Methods and Bayesian Inference

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Unique citing works176
Citations per year5,87
Citation span1996 - 2026 (31)
Citation velocitycurrent
Highly citedYes
Citation typesNeutral: 109

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