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Resumen de An estimator for the number of clusters in a population

Juan José Prieto Martínez

  • Assume that a random sample is drawn from a population with an unknown number K of clusters. This work propases a nonparametric method to estimate the number of clusters when most of the information is concentrated on the low arder occupancy numbers.

    This paper derives an estimator to K and proves the asymptotic distribution using a method of Holst (1979). The performance of the estimator is investigated by means of Monte Carla experiments and it is applied to one real data example.


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