How to compare small multivariate samples using nonparametric tests

In the life sciences and other research fields, experiments are often conducted to determine responses of subjects to various treatments. Typically, such data are multivariate, where different variables may be measured on different scales that can be quantitative, ordinal, or mixed. To analyze these...

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Bibliographic Details
Published in:	Computational statistics & data analysis Vol. 52; no. 11; pp. 4951 - 4965
Main Authors:	Bathke, Arne C., Harrar, Solomon W., Madden, Laurence V.
Format:	Journal Article
Language:	English
Published:	Amsterdam Elsevier B.V 15.07.2008 Elsevier Science Elsevier
Series:	Computational Statistics & Data Analysis
Subjects:	Exact sciences and technology General topics Mathematics Multivariate analysis Numerical analysis Numerical analysis. Scientific computation Numerical methods in probability and statistics Parametric inference Probability and statistics Sciences and techniques of general use Statistics Correlation Large sample Non parametric estimation Multivariate analysis Statistical test Law of large numbers Sample survey Rank test Hotelling test Discriminant analysis Data analysis Non parametric test Covariance analysis Asymptotic behavior Statistical association Variance analysis Statistical method Statistical regression Sampling theory Statistical computation Experimental unit Correlation analysis Experimental design Small sample Asymptotic approximation Factorial design Number theory
ISSN:	0167-9473, 1872-7352
Online Access:	Get full text
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