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Pérez, Teresa and Pardo Llorente, Julio Ángel (2004) K phi divergence statistics in multinomial populations. In Soft Methodology and Random Information Systems. Advances in Intelligent and Soft Computing (26). Springer, Berlín, pp. 323-330. ISBN 978-3-540-22264-4
Official URL: http://www.springer.com/engineering/computational+intelligence+and+complexity/book/978-3-540-22264-4
Abstract
Asymptotic distributions of K-phi-divergence statistics are derived by either testing goodness-of-fit under symmetric null hypothesis, or composite null hypotheses when the unspecified parameters are estimated by minimum K-phi-divergence. The asymptotic chi-square null distribution and three alternative approximations to the exact distribution function of this family are considered and a new goodness-of fit statistics emerges as an alternative to Pearson's chi-square test. Test of homogeneity is also obtained.
| Item Type: | Book Section |
|---|---|
| Additional Information: | 2nd International Conference on Soft Methods in Probability and Statistics (SMPS 2004) SEP 02, 2004-SEP 04, 2007 |
| Uncontrolled Keywords: | Of-fit tests; Asymptotic normality; Goodness |
| Subjects: | Sciences > Mathematics > Mathematical statistics |
| ID Code: | 17988 |
| Deposited On: | 25 Jan 2013 10:19 |
| Last Modified: | 25 Jan 2013 10:19 |
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