Web1 de nov. de 2015 · In this subsection, the class of all finite mixtures of Skew-Normal distributions, given in (6), is proved to be identifiable. Besides, the class of all mixtures … WebJSTOR Home
On the identifiability of finite mixture of Skew-Normal …
Web5 de abr. de 2024 · Researchers use finite mixture models to analyze linked survey and administrative data on labor earnings, while also accounting for various types of measurement... Web13 de dez. de 2008 · In this paper, finite mixtures of the union of Logarithmic Series and Discrete Rectangular families are proved to be identifiable. The sufficient condition for the identifiability of finite mixtures given by Atienza et al. (Metrika 63:215–221, 2006) is applied instead of mostly used Teicher’s condition (Teicher, Ann Math Stat 34: … biology report samples
Finite mixture models for linked survey and administrative data ...
WebAbstract: Finite mixtures of the following ten families of univariate distributions are shown to be identifiable: logarithmic series, discrete rectangular, rectangular, first law of Laplace, noncentral X^{2}, logistic, generalized logistic, generalized hyperbolic-secant, inverse Gaussian, and random walk.A generalized version of a theorem given by Teicher is used … Web13 de abr. de 2024 · The finite mixtures approach identifies homogeneous groups within the sample. The data are aggregated into classes sharing similar patterns without any prior knowledge or assumption on the clustering. These clusters are characterized by group-specific regression coefficients to account for between groups heterogeneity. Two … Web9 de abr. de 2009 · If G (θ) is a distribution function on Ω H (x) = ƒ ohm; F (x, θ) dG (θ) is a mixture with respect to G. If there is a unique G yielding H, the mixtures is said to be identifiable.This paper summarises some known results related to identifiability of special types of mixtures and then discusses the general problem of identifiability in ... daily news bg