Scott and Knott. A cluster analysis method for grouping means in the ANAVA

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A Cluster Analysis Method for Grouping Means in the Analysis of Variance
Author(s): A. J. Scott and M. Knott
Source: Biometrics, Vol. 30, No. 3, (Sep., 1974), pp. 507-512
Published by: International Biometric Society
Stable URL: http://www.jstor.org/stable/2529204
Accessed: 30/04/2008 15:58
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	Cover Page
	Article Contents
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	Issue Table of Contents
	Biometrics, Vol. 30, No. 3, Sep., 1974
	Front Matter [pp.i-ii]
	A Biometrics Invited Paper. Stochastic Models for Single Neuron Firing Trains: A Survey [pp.399-427]
	Covariances between Arbitrary Relatives with Linkage and Epistasis in the Case of Linkage Disequilibrium [pp.429-446]
	Estimation of Heritability by Both Regression of Offspring on Parent and Intra-Class Correlation of Sibs in One Experiment [pp.447-468]
	The Analysis of Partially Categorized Contingency Data [pp.469-483]
	Alternative Tests for Comparing Normal Distribution Parameters Based on Logistic Regression [pp.485-497]
	Multivariate Clustering Procedures with Variable Metrics [pp.499-505]
	A Cluster Analysis Method for Grouping Means in the Analysis of Variance [pp.507-512]
	Application of the S-Method to the Analysis of Spatial Pattern [pp.513-524]
	On the Detection of Household Aggregation of Disease [pp.525-538]
	Shorter Communications
	364: Using the Jackknife in Testing Dose Responses in Proportions near Zero or One -- Revisited [pp.539-545]
	365: Leslie Matrix Models for Fisheries Studies [pp.547-551]
	366: A Run-Like Statistic for Ecological Transects [pp.553-555]
	Book Reviews
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	Abstracts [pp.559-566]
	The Biometric Society [pp.567-568]
	News and Announcements [pp.569-571]
	Papers to be Published in Biometrics [p.572]
	Back Matter [pp.iii-viii]