Showing papers on "Resampling published in 1980"

Randomization Analysis of Experimental Data: The Fisher Randomization Test

Abstract: R.A. Fisher's classic text on the design of experiments is the principal source of inspiration for a mode 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.

The T'-Test: Fisher's Test of the Difference Score Population Symmetry About Zero

Abstract: This paper describes a computer program which performs a randomization test called the t'-test. Formally known as Fisher's Test of the Difference Score Population Symmetry About Zero, this test is appropriate when a matched-group t test would be appropriate but the data cannot meet the required distributional assumptions. The data must, however, be at least interval level.

Integration of Factors and Overview of Book

Abstract: In preceding chapters the “clorpt” formula was taken apart and explicit factor sequences were secured. Now, a case of implicit correlation is to be resolved by stratified resampling. Later, previous sequences are put together in multivariate synthesis.