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
Subjects:
Mathematical Statistics;
Statistical Theory & Methods;
Statistics;
Statistics for the Biological Sciences;
Stochastic Models & Processes;
Formats available:
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(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.
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| Keywords: Nonparametric testing; estimation; multiple comparisons; analysis of variance; regression; applications; Biomedical; Physical; Engineering; Behavioral Sciences |
| view references (31) |

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