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Autor Landaburu Jiménez, María Elena |
Documentos disponibles escritos por este autor (6)
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Weighted (h, phi) - divergence statistics are obtained by either replacing both distributions involved in the argument by their nonparametric estimators or replacing one distribution and considering the other as given. Asymptotic properties of w[...]texto impreso
Landaburu Jiménez, María Elena ; Morales González, Domingo ; Pardo Llorente, Leandro | Springer Verlag | 2005-07The well-known chi-squared goodness-of-fit test for a multinomial distribution is generally biased when the observations are subject to misclassification. In Pardo and Zografos (2000) the problem was considered using a double sampling scheme and[...]texto impreso
Landaburu Jiménez, María Elena ; Pardo Llorente, Leandro | Institute of Information Theory and Automation of the ASCR | 2000The aim of the paper is to present a test of goodness of fit with weigths in the classes based on weighted (h, phi)-divergences. This family of divergences generalizes in some sense the previous weighted divergences studied by Frank et al [5] an[...]texto impreso
The distributional properties of the weighted (h, phi)-divergence test statistics introduced in Landaburu and Pardo (2000) rely on large sample sizes for their validity. In this paper the accuracy of applying asymptotic results in cases where th[...]texto impreso
We consider experiments involving the observation of a discrete random variable, or quantitative classification process and we also assume that in addition to probability of each value or class we know its "utility" or "weight" (or more precisel[...]texto impreso
Purpose - Proposes a test of goodness-of-fit with composite null hypotheses and weights in the classes based on weighted (h, p)-divergences. Design/methodology/approach - The weighted (h, p)-divergence between an empirical distribution and the p[...]