4 resultados para Probabilistic graphical models

em Universidad de Alicante


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This study analyses determinant factors in the taking of three basic decisions on the part of holidaymakers: going on holiday, foreign holidays and multi-destination holidays. We propose various research hypotheses relating to the impact on these decisions of various personal characteristics. The methodology used estimates various Binomial Logit models. The empirical application carried out in Spain on a sample of 3,781 individuals allows us to conclude that personal characteristics related to the chosen destination, personal restrictions and socio-demographic and psychographic characteristics are determinants of these decisions.

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El presente trabajo analiza los factores determinantes de la motivación cultural de los turistas a la hora de elegir un destino. Para ello se proponen diversas hipótesis de investigación relativas al impacto en dicha motivación cultural de varias características sociodemográficas, psicográficas y de comportamiento turístico. La aplicación empírica realizada en España sobre una muestra de ámbito nacional de 2.127 individuos permite concluir que mayores niveles de estudios, menores tamaños del hogar, mayor interés en conocer lugares nuevos y menor sensibilidad a los precios, conducen a una mayor motivación cultural. Especialmente curioso resulta el efecto curvilíneo obtenido para la variable edad: creciente en origen y decreciente a partir de un punto. Dada la relevancia de las dimensiones analizadas, las implicaciones para la gestión de destinos culturales son inmediatas.

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A single and very easy to use Graphical User Interface (GUI- MATLAB) based on the topological information contained in the Gibbs energy of mixing function has been developed as a friendly tool to check the coherence of NRTL parameters obtained in a correlation data procedure. Thus, the analysis of the GM/RT surface, the GM/RT for the binaries and the GM/RT in planes containing the tie lines should be necessary to validate the obtained parameters for the different models for correlating phase equlibrium data.

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For non-negative random variables with finite means we introduce an analogous of the equilibrium residual-lifetime distribution based on the quantile function. This allows us to construct new distributions with support (0, 1), and to obtain a new quantile-based version of the probabilistic generalization of Taylor's theorem. Similarly, for pairs of stochastically ordered random variables we come to a new quantile-based form of the probabilistic mean value theorem. The latter involves a distribution that generalizes the Lorenz curve. We investigate the special case of proportional quantile functions and apply the given results to various models based on classes of distributions and measures of risk theory. Motivated by some stochastic comparisons, we also introduce the “expected reversed proportional shortfall order”, and a new characterization of random lifetimes involving the reversed hazard rate function.