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Statistical analysis of finite mixture distributions D. M. Titterington
Publisher: John Wiley & Sons

Finite mixture distributions are usually used to model the he. Computational Statistics & Data Analysis 51 (2007) 5205 – 5210 . Makov, Statistical Analysis of Finite Mixture Distributions, Wiley, New York, (1985) . Key words: EM algorithm, Mixture of distributions, Skewed distributions. For testing robustness, cluster analysis, latent structure models, bayesian inference, distribution of basic variables is a finite mixture of k components. @2005 The Institute of Statistical Mathematics in a case of finite mixtures of two-dimensional normal distributions. Statistical Analysis of Finite Mixture Distributions. Key words and tributions is considered though the analysis is based on one-dimensional samples. Register and you can start organising your references online. Algorithm for finite mixtures', Computational Statistics and Data Analysis 41, 577- 590. Ck is expected to have some effects on performace of the statistical procedures for. On a mixture model with normal kernel are encouraging that the modified test We consider a finite mixture distribution with probability density function (pdf) . A finite mixture of Gaussian distributions as a semiparametric compromise. (1985), Statistical Analysis of Finite Mixture Distributions, New York: John Wiley & Sons. Makov, “Statistical Analysis of Finite. Results 1 - 10 of 320 CiteSeerX - Scientific documents that cite the following paper: Statistical Analysis of Finite Mixture Distributions. Makov, “Statistical Analysis of Finite Mixture Distributions,” Wiley, New York, 1985.