Random clustering based on the conditional inverse gaussian-poisson distribution

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概要

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• The present article describes a Conditional Inverse Gaussian-Poisson (CIGP) distribution, obtained by conditioning an inverse Gaussian-Poisson population model on its total frequency. This CIGP distribution is equivalent to random partitioning of positive integers, with the possibility for a number of applications in statistical ecology, linguistics and statistical disclosure control to name a few. After showing the marginal moments of the distribution, parameter estimation is discussed. Fitting the CIGP distribution to some typical data sets demonstrates its applicability.

• 一般社団法人日本統計学会の論文

著者

• Hoshino Nobuaki

  Faculty Of Economics Kanazawa University

関連論文

• Random clustering based on the conditional inverse gaussian-poisson distribution

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