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Statistics, Nonparametric MeSH Descriptor Data 2022


MeSH Heading
Statistics, Nonparametric
Tree Number(s)
E05.318.740.995
N05.715.360.750.760
N06.850.520.830.995
Unique ID
D018709
RDF Unique Identifier
http://id.nlm.nih.gov/mesh/D018709
Annotation
usually NIM
Scope Note
A class of statistical methods applicable to a large set of probability distributions used to test for correlation, location, independence, etc. In most nonparametric statistical tests, the original scores or observations are replaced by another variable containing less information. An important class of nonparametric tests employs the ordinal properties of the data. Another class of tests uses information about whether an observation is above or below some fixed value such as the median, and a third class is based on the frequency of the occurrence of runs in the data. (From McGraw-Hill Dictionary of Scientific and Technical Terms, 4th ed, p1284; Corsini, Concise Encyclopedia of Psychology, 1987, p764-5)
Entry Version
STATIST NONPARAMETRIC
Entry Term(s)
Kolmogorov-Smirnov Test
Kruskal-Wallis H Statistic
Mann-Whitney U Test
Non-Parametric Statistics
Nonparametric Statistics
Rank-Sum Tests
Spearman Rank Correlation Coefficient
Statistics, Non-Parametric
Wilcox Test
Wilcoxon Rank Test
Previous Indexing
Statistics (1966-1994)
Public MeSH Note
95
History Note
95
Date Established
1995/01/01
Date of Entry
1994/05/23
Revision Date
2008/07/08

No Qualifiers
Statistics, Nonparametric Preferred
Kruskal-Wallis H Statistic Narrower
Wilcoxon Rank Test Narrower
Rank-Sum Tests Narrower
Spearman Rank Correlation Coefficient Narrower
Wilcox Test Narrower
Kolmogorov-Smirnov Test Narrower
Mann-Whitney U Test Narrower
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