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these empirical descriptive statistics, we finda few methodologies to find multivariate outliers in massive data sets …
Persistent link: https://www.econbiz.de/10009449950
Multivariate mixture models provide a convenient method of densityestimation and model based clustering as well as providing possible explanations for the actual data generationprocess. But the problem of choosing the number of components ($g$) in a statistically meaningful way is still asubject...
Persistent link: https://www.econbiz.de/10009450001
Mixture models have been popular in the literature of both statistics and social science. In this dissertation, we …
Persistent link: https://www.econbiz.de/10009450012
An almost nonparametric approach for the estimation of the mixing proportion in a mixture of two distributions, when we have a vector of observations on each subject, is to define a mixture of binomials. A mixture of binomials can be obtained if the vector of observations is mapped into a vector...
Persistent link: https://www.econbiz.de/10009450026
Parameter identifiability is very useful if one wishes to make inferences in a statistical model. There are two important nonidentifiabilities in finite mixture models : boundary nonidentifiability and label nonidentifiability. Although parameters are not identifiable in the strict sense, in...
Persistent link: https://www.econbiz.de/10009450161