A theorem is proved showing that, assuming some boundary conditions, the following hypotheses: 1. {Xn} is a sequence of continuous random variables which approaches in probability to a numerical sequence {an}, 2. {Yn} is another sequence of random variables such that, for all n, the density function of Yn is proportional to the product of the density of Xn by another...
Este trabajo presenta una mejora del conocido método iterativo, propuesto por Brown (1951), y cuya validez fue demostrada por Robinson (1951), para resolver juegos matriciales mediante el desarrollo ficticio de una serie de partidas del juego. La mejora consiste en dotar al método de una mayor flexibilidad en la elección del punto inicial del algoritmo.
Three methods are proposed for constructing reference prior densities for certain biparametric distribution families. These densities represent approximations to the Bayesian concept of noninformative distribution.
In this paper it is taken up a revision and characterization of the class of absolutely continuous elliptical distributions upon a parameterization based on the density function. Their properties (probabilistic characteristics, affine transformations, marginal and conditional distributions and regression) are shown in a practical and easy to interpret way. Two examples are fully undertaken: the multivariate double exponential distribution and the multivariate uniform distribution.
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