Statistical Methods for Ranking Data O.P applications of particle swarm optimization

applications of particle swarm optimization algorithms

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Formalized versus Intuitive Arguments

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Statistical Methods for Ranking Data O.P applications of particle swarm optimizationThis book introduces advanced undergraduate, graduate students and practitioners to statistical methods for ranking data. An important aspect of nonparametric statistics is oriented towards the use of ranking data. Rank correlation is defined through the notion of distance functions and the notion of compatibility is introduced to deal with incomplete data. Ranking data are also modeled using a variety of modern tools such as CART, MCMC, EM algorithm