Identifiability for mixtures of distributions from a location-scale family with uniforms
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Data
2007Autore
Coretto, Pietro
Henning, Christian
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In this paper we study the indentifiability of a class of mixture models where
a finite number of one-dimensional location scale distributions is mixed with
a finite number of uniform distributions on an interval. We define identifiability
and we show that, under certain conditions, the afore-mentioned class of
distributions is identifiable.