An estimator for the number of clusters in a population

• Autores: Juan José Prieto Martínez
• Localización: Revista de la Academia Canaria de Ciencias: = Folia Canariensis Academiae Scientiarum, ISSN 1130-4723, Vol. 9, Nº. 1, 1997, págs. 97-124
• Idioma: inglés
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• Resumen

  • 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.