The idea of using functionals of Information Theory, such as entropies or divergences, in
statistical inference is not new. However, in spite of the fact that divergence statistics have …

In many ways, estimation by an appropriate minimum distance method is one of the most
natural ideas in statistics. However, there are many different ways of constructing an …

Abstract Specification or stochastic modeling of data is an important step in statistical
analysis of data. Karl Pearson was the first to recognize this problem and introduce a …

Equivalence tests have received increasing attention in the last years, especially in
experimental applied fields such as Biology, Medicine or Pharmacology. In the statistical …

Inequality indices evaluate the divergence between the income distribution and the
hypothetical situation where all individuals receive the mean income, and are …

Mutual asymptotic equivalence is established within three classes of information-theoretic
divergences of discrete probability distributions, namely, f-divergences of Csiszar, f …

The usefulness of the parameters (eg, slope, aspect) derived from a Digital Elevation Model
(DEM) is limited by its accuracy. In this paper, a thematic-like quality control (class-based) of …

Consider the loglinear model for categorical data under the assumption of either Poisson,
multinomial, or product-multinomial sampling. We are interested in testing between various …

In this paper, we assume that the data are distributed according to a binomial distribution
whose probabilities follow a generalized linear model. To fit the data the minimum φ …

Este trabajo propone un método de control de calidad de tipo temático (basado en clases)
aplicable a los casos de las pendientes y orientaciones derivadas de Modelos Digitales de …