Utilize este identificador para referenciar este registo: http://hdl.handle.net/10400.3/2662
Título: Distribution of the Affinity Coefficient between Variables based on the Monte Carlo Simulation Method
Autor: Sousa, Áurea
Silva, Osvaldo
Bacelar-Nicolau, Helena
Nicolau, Fernando C.
Palavras-chave: Affinity Coefficient
Pearson's Correlation Coefficient
Monte Carlo Simulation Method
Probability Laws
Data: Dez-2013
Editora: Asian Online Journals (www.ajouronline.com)
Citação: Sousa, Áurea; Silva, Osvaldo; Bacelar-Nicolau, Helena; Nicolau, Fernando C. (2013). "Distribution of the Affinity Coefficient between Variables based on the Monte Carlo Simulation Method". Asia Online Journals: Asian Journal of Applied Sciences, 1(5), 236-245,. ISSN 2321-0893.
Resumo: The affinity coefficient and its extensions have both been used in hierarchical and non-hierarchical Cluster Analysis. The purpose of the present empirical study on the distribution of the basic and the generalized affinity coefficients and on the distribution of the standardized affinity coefficient, by the method of Wald and Wolfowitz, under different assumptions, is to assess the effect of the statistical probability distributions of the variables (columns) of the initial data matrix, and of the respective parameters, in the distribution of the values of these coefficients. We present some results concerning the asymptotic distribution of the referred coefficients under the assumption that the variables (for which the values of these coefficients are calculated) are independent and have statistical probability distributions specified apriori. In this distributional study, based on the Monte Carlo simulation method, we considered ten well-known statistical probability distributions with different variations of the respective parameters. The simulation studies lead to the conclusion that the coefficients’ convergence for the normal distribution is quite fast and, in general, a good approximation is obtained for small sample sizes, that is for sample sizes above 20 and in many cases for sample sizes above 10.
Descrição: This journal provides immediate open access to its content on the principle that making research freely available to the public supports a greater global exchange of knowledge.
Peer review: yes
URI: http://hdl.handle.net/10400.3/2662
ISSN: 2321-0893 (Online)
Versão do Editor: http://ajouronline.com/index.php?journal=AJAS&page=article&op=view&path%5B%5D=746&path%5B%5D=411
Aparece nas colecções:DME - Artigos em Revistas Internacionais / Articles in International Journals

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