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Menéndez Calleja, María Luisa ; Morales González, Domingo ; Pardo Llorente, Leandro ; Vadja, Igor | Marcel Dekker Inc. | 2001The paper studies a class of tests based on disparities between the real-valued data and theoretical models resulting either from fixed partitions of the observation space, or from the partitions by the sample quantiles of fixed orders. In both [...]texto impreso
Menéndez Calleja, María Luisa ; Morales González, Domingo ; Pardo Llorente, Leandro ; Vadja, Igor | Blackwell | 1988-03For a wide class of goodness-of-fit statistics based on phi-divergences between hypothetical cell probabilities and observed relative frequencies, the asymptotic normality is established under the assumption n/m(n) --> gamma is an element of (0[...]texto impreso
The paper presents asymptotic distributions of phi-disparity goodness-of-fit statistics in product multinomial models, under hypotheses and alternatives assuming sparse and nonsparse cell frequencies. The phi-disparity statistics include the pow[...]texto impreso
Marhuenda García, Yolanda ; Morales González, Domingo ; Pardo Llorente, Julio Ángel ; Pardo Llorente, María del Carmen | Elsevier Science | 2005-06-01The testing for goodness-of-fit in multinomial sampling contexts is usually based on the asymptotic distribution of Pearson-type chi-squared statistics. However, approximations are not justified for those cases where sample size and number of ce[...]texto impreso
Marhuenda García, Yolanda ; Morales González, Domingo ; Pardo Llorente, María del Carmen | Taylor & Francis Group Ltd | 2005-08Problems of goodness-of-fit to a given distribution can usually be reduced to test uniformity. The uniform distribution appears due to natural random events or due to the application of methods for transforming samples from any other distributio[...]texto impreso
Martín Apaolaza, Níriam ; Morales González, Domingo ; Pardo Llorente, Leandro | Gordon & Breach | 2008-05-21In this article, we introduce minimum divergence estimators of parameters of a binary response model when data are subject to false-positive misclassification and obtained using a double-sampling plan. Under this set up, the problem of goodness-[...]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
Menéndez Calleja, María Luisa ; Morales González, Domingo ; Pardo Llorente, Leandro | Pergamon-Elsevier Science Ltd | 1997-09We consider a wide class of statistics, namely phi-divergences. We obtain asymptotic distributions of these statistics in nested models. Our result generalizes previous results in this field.texto impreso
Morales González, Domingo ; Pardo Llorente, Leandro ; Pardo Llorente, María del Carmen ; Vadja, Igor | Springer Heidelberg | 2000-12A generalization of the Wald statistic for testing composite hypotheses is suggested for dependent data from exponential models which include Levy processes and diffusion fields. The generalized statistic is proved to be asymptotically chi-squar[...]texto impreso
Morales González, Domingo ; Pardo Llorente, Leandro ; Zografos, Konstantinos | Elsevier Science BV | 1998-11-15A 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 mod[...]texto impreso
Morales González, Domingo ; Pardo Llorente, Leandro ; Pardo Llorente, María del Carmen | Marcel Dekker Inc | 2001The problem of introducing divergence-based statistics to test composite hypotheses related to s populations is still open when sample sizes are not equal. On the basis of likelihood divergence statistics, a statistical procedure is introduced i[...]texto impreso
Morales González, Domingo ; Pardo Llorente, Leandro ; Pardo Llorente, María del Carmen ; Vadja, Igor | Tailor and Francis | 2003-06Disparities of spacings mean the phi-disparities D-phi((q) over bar (n), p(n)) of discrete hypothetical and empirical distributions g and p(n) defined by m-spacings on i.i.d. samples of size n where phi: (0, infinity) \--> HR is twice continuou[...]texto impreso
Menéndez Calleja, María Luisa ; Morales González, Domingo ; Pardo Llorente, Leandro ; Vadja, Igor | Springer | 2001-06The paper considers statistical models with real-valued observations i.i.d. by F(x, theta (0)) from a family of distribution functions (F(x, theta); theta is an element of Theta), Theta subset of R-s, s greater than or equal to 1. For random qua[...]texto impreso
We consider minimum phi-divergence estimators (theta) over cap (phi)(n) of parameters theta of arbitrary dominated models mu(theta)texto impreso
Morales González, Domingo ; Pardo Llorente, Leandro ; Pardo Llorente, María del Carmen ; Vadja, Igor | Taylor & Francis | 2004-04We introduce a family of Renyi statistics of orders r is an element of R for testing composite hypotheses in general exponential models, as alternatives to the previously considered generalized likelihood ratio (GLR) statistic and generalized Wa[...]
