Adaptive Nonparametric Procedures and Applications

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.

Description

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.

DOI

https://doi.org/10.2307/2347340

Rights

This work may be protected by copyright unless otherwise stated.

Type

Article

Collections

Madan Lal Puri Collection

Full item page

Adaptive Nonparametric Procedures and Applications

Files

Other Version

External File or Record

Date

Authors

Journal Title

Journal ISSN

Volume Title

Publisher

Permanent Link

Abstract

Series and Number:

EducationalLevel:

Is Based On:

Target Name:

Teaches:

Table of Contents