Adaptive Nonparametric Procedures and Applications
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Date
1988
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Journal of the Royal Statistical Society, Series C (Applied Statistics)
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Abstract
Two adaptive nonparametric procedures are proposed for multiple comparisons and testing for ordered alternatives in the one-way ANOVA model. The first procedure resembles a proposal of Hogg, Fisher and Randles (for hypothesis testing) while the second is a variation of the first. Applications to data on lung cancer illustrate the theory.The supremacy of these procedures over the parametric normal theory procedures and the rank-based procedures is established. Monte Carlo studies show that these procedures can be safely applied when the size of each sample is at least 20.
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Publisher's, offprint version
Keywords
Confidence interval, Gaussian distributions, Sampling distributions, Mathematical procedures, Rank tests, T tests, Statistical variance, Lung neoplasms
Citation
Puri, M. L. "Adaptive nonparametric procedures and applications." Journal of the Royal Statistical Society, Series C (Applied Statistics) (1988), Volume 37 Issue 2, 205–218. Co-authors: N.J. Hill and A.R. Padmanabhan.
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