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Post hoc tests in analysis of variance.

open access: yesIndian J Occup Environ Med, 2016
Mahajan A.
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Analysis of Variance

Circulation, 2008
Analysis of variance (ANOVA) is a statistical technique to analyze variation in a response variable (continuous random variable) measured under conditions defined by discrete factors (classification variables, often with nominal levels). Frequently, we use ANOVA to test equality among several means by comparing variance among groups relative to ...
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Multivariate Analysis of Variance

Journal of Marketing Research, 1987
Introduction to Multivariate Analysis of Variance Omnibus MANOVA Tests Analyzing and Interpreting Significant MANOVAs Causal Models Underlying MANOVA Analyses Complex Designs Overview of Computer Programs for ...
D. D. V. Morgan   +2 more
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Analysis of Variance with Unequal Variances

Journal of Quality Technology, 1981
Analysis of variance (ANOVA) is often used in quality control studies. It assumes equal variabilities within groups, and no exact procedures have been available for cases with unequal variabilities. In this paper exact procedures are given and illustrat..
Edward J. Dudewicz, Thomas A. Bishop
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Analysis of Variance I

2011
Analysis of Variance (ANOVA) is a statistical procedure for comparing means of two or more populations. As the name suggests, ANOVA is a method for studying differences in means by analysis of the variance components in the model. In earlier chapters we have considered two sample location problems; for example, we compared the means of two groups using
Jim Albert, Maria Rizzo
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Analysis of Variance

2013
In this chapter we cover the case where we wish to compare the means from several groups, where “several” is defined as more than two. The method we use in this case is called an Analysis of Variance (ANOVA), which is a well-known and widely-used statistical procedure.
Roy Sabo, Edward Boone
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Statistical Methodology: IV. Analysis of Variance, Analysis of Co variance, and Multivariate Analysis of Variance

Academic Emergency Medicine, 1998
ABSTRACTMedical research frequently involves the statistical comparison of >2 groups, often using data obtained through the application of complex experimental designs. Fortunately, inferential statistical methodologies exist to address these situations.
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