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Morales González, Domingo and Pardo Llorente, Leandro and Zografos, Konstantinos (1998) Informational distances and related statistics in mixed continuous and categorical variables. Journal of Statistical Planning and Inference, 75 (1). pp. 47-63. ISSN 0378-3758
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Official URL: http://www.sciencedirect.com/science/article/pii/S0378375898001207
Abstract
A general class of dissimilarity measures among k greater than or equal to 2 distributions and their sample estimators are considered, for mixed continuous and categorical variables. The distributional properties are studied for the location model and the asymptotic distributions are investigated, in the general parametric case. The asymptotic distributions of the resulting statistics are used in various settings, to test statistical hypotheses.
Item Type: | Article |
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Uncontrolled Keywords: | location model; mixed variables; f-dissimilarity; f-dissimilarity statistic; asymptotic distributions; multivariate normal distribution; exponential family; testing statistical hypotheses; test of homogeneity; multinomial goodness; populations; tests; fit; hypotheses; models |
Subjects: | Sciences > Mathematics > Applied statistics |
ID Code: | 18092 |
Deposited On: | 31 Jan 2013 09:18 |
Last Modified: | 20 Jul 2018 08:48 |
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