Hostname: page-component-cd9895bd7-jkksz Total loading time: 0 Render date: 2024-12-25T07:21:51.975Z Has data issue: false hasContentIssue false

Distributions associated with the factors of Wilks' Λ in discriminant analysis

Published online by Cambridge University Press:  09 April 2009

A. M. Kshirsagar
Affiliation:
Southern Methodist University Dallas, Texas, U.S.A.
Rights & Permissions [Opens in a new window]

Extract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.

Exact tests, based on factorization of Wilks' Λ were derived by Williams (1952, 1955) and Bartlett (1951), for testing the goodness of fit of a single hypothetical discriminant function, in the case of several groups. An analytical derivation of the distributions associated with these tests was given by the author (1964 a), after expressing the test statistics in canonical forms. Wilks' Λ to cover the case of s (s > 1) hypothetical discriminant functions. Radcliffe, in his paper, states that an analytical derivation of the distributions, as well as of the independence of the factors of Λ is desirable. This is done in the present paper, by expressing the test criteria in simpler forms and using matrix transformations in the multivariate Beta distribution (Kshirsager 1961). This is a straightforward extension of the author's paper (1964 a), which dealt with only one hypothetical discriminant function.

Type
Research Article
Copyright
Copyright © Australian Mathematical Society 1969

References

[1]Bartlett, M. S., ‘The goodness of fit of a single hypothetical discriminant function in the case of several groups’, Ann. Eugen. 16 (1951), 199214.CrossRefGoogle ScholarPubMed
[2]Deemer, W. L. and Olkin, I., ‘Jacobians of certain matrix transformations useful in multivariate analysis’, Biometrika 38 (1951), 345365.Google Scholar
[3]James, A. T., ‘Distributions of matrix variates and latent roots derived from normal samples’, Ann. Math. Statist. 35, (1964), 475501.CrossRefGoogle Scholar
[4]Kshirsagar, A. M., ‘Non-central multivariate beta distributions’, Ann. Math. Statist., 32 (1961), 104111.CrossRefGoogle Scholar
[5]Kshirsagar, A. M., ‘Distributions of the direction and collinearity factors in discriminant analysis’, Proc. Camb. Phil. Soc. 60, (1964), 217225.CrossRefGoogle Scholar
[6]Kshirsagar, A. M., ‘Wilks' Λ criterion’, J. Ind. Stat. Ass. 2 (1964), 120.Google Scholar
[7]Radcliffe, J., ‘Factorizations of the residual likelihood criterion in discriminant analysis’, Proc. Camb. Phil. Soc., 62 (1966), 743751.CrossRefGoogle Scholar
[8]Williams, E. J., ‘Some exact tests in multivariate analysis’, Biometrika, 39 (1952), 1731.CrossRefGoogle Scholar
[9]Williams, E. J., ‘Significance test for discriminant functions and linear functional relationshipd’, Biometrika, 42 (1955), 360381.CrossRefGoogle Scholar
[10]Williams, E. J., ‘Tests for discriminant functions’, J. Aust. Math. Soc. 2 (1961), 243252.CrossRefGoogle Scholar