You are not currently logged in.
Access JSTOR through your library or other institution:
Randomization Analysis of Experimental Data: The Fisher Randomization Test
Journal of the American Statistical Association
Vol. 75, No. 371 (Sep., 1980), pp. 575-582
Stable URL: http://www.jstor.org/stable/2287648
Page Count: 8
You can always find the topics here!Topics: Random allocation, Null hypothesis, Statistics, Inference, Significance level, Data analysis, Nonparametric tests, Experiment design, Experimentation, Statistical relevance model
Were these topics helpful?See something inaccurate? Let us know!
Select the topics that are inaccurate.
Preview not available
R. A. Fisher's classic text on the design of experiments is the principal source of inspiration for a model of data interpretation that is usually characterized as randomization analysis. In Chapter III of this text, Fisher briefly commented on how to make a randomization test on some data generated by a Darwin experiment. Two variants of this randomization test are discussed in this article. The variant that is discussed in Section 4 may be regarded as the forerunner of all nonparametric tests. The original variant of the test is discussed in Section 6. The author concludes that the Fisher randomization test is not logically viable.
Journal of the American Statistical Association © 1980 American Statistical Association