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Showing 1 to 3 of 3 for “"Semiparametric mixture models"”.
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Semiparametric mixture models
… consists of three parts that are related to semiparametric mixture models. In Part I, we construct the minimum profile Hellinger distance (MPHD) estimator for a class of semiparametric mixture models where one component has known distribution with possibly unknown parameters while the other …
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Minimum Hellinger distance estimation in a semiparametric mixture model
… efficient and robust estimator for a class of semiparametric mixture models where one component has known distribution while the other component and the mixing proportion are unknown. Such semiparametric mixture models have been used in biology and the sequential clustering algorithm. Our new …
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Statistical Inferences for Two-Component Semiparametric Location-Scale Mixture Models
Mixture models serve as a powerful statistical tool, particularly in capturing heterogeneous populations by representing them as a mixture of several distributions. These models are particularly useful in various fields, including genomics, economics, and social sciences, where data often arises …