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Gupta, Arjun K. and Pardo Llorente, Leandro (2007) Phi-divergences and polytomous logistic regression models: An overview. Journal of statistical planning and inference, 137 (11). pp. 3513-3524. ISSN 0378-3758
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Official URL: http://www.sciencedirect.com/science/article/pii/S0378375807001139
Abstract
In this paper we assume that the categorical data are distributed according to a multinomial distribution whose probabilities follow a polytomous logistic regression model and we present some inferential results based on minimum phi-divergence estimators as well as phi-divergence test statistics.
Item Type: | Article |
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Additional Information: | Special Issue: In Celebration of the Centennial of The Birth of Samarendra Nath Roy (1906-1964) |
Uncontrolled Keywords: | multinomial sampling; dimensionality reduction; kullback-leibler divergence; phi-divergence test statistic |
Subjects: | Sciences > Mathematics > Mathematical statistics |
ID Code: | 17619 |
Deposited On: | 11 Jan 2013 09:44 |
Last Modified: | 25 Jun 2018 07:13 |
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