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Theory of nonparametric statistics for rounded-off data with applications 

Authors: A. R. Padmanabhan a; Madan L. Puri b
Affiliations:   a Monash University, Australia
b Department of Mathematics, Indiana University, Bloomington, Indiana, U.S.A
DOI: 10.1080/02331888308801708
Publication Frequency: 6 issues per year
Published in: journal Statistics, Volume 14, Issue 2 1983 , pages 301 - 349
Formats available: PDF (English)
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Abstract

This article gives a unified account of nonparametric statistics, covering testing, estimating, multiple comparisons, analysis of variance and regression, for rounded-off data, with ties handled by the average scores method. The theory is illustrated by means of numerous applications to the Biomedical, Engineering and Behavioral Sciences.
Keywords: Nonparametric testing; estimation; multiple comparisons; analysis of variance; regression; applications; Biomedical; Physical; Engineering; Behavioral Sciences
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