Deprecated: $wgMWOAuthSharedUserIDs=false is deprecated, set $wgMWOAuthSharedUserIDs=true, $wgMWOAuthSharedUserSource='local' instead [Called from MediaWiki\HookContainer\HookContainer::run in /var/www/html/w/includes/HookContainer/HookContainer.php at line 135] in /var/www/html/w/includes/Debug/MWDebug.php on line 372
A Graphical Technique for Determining the Number of Components in a Mixture of Normals - MaRDI portal

A Graphical Technique for Determining the Number of Components in a Mixture of Normals

From MaRDI portal
Publication:4305719

DOI10.2307/2290850zbMath0798.62004OpenAlexW4239027680MaRDI QIDQ4305719

Kathryn Roeder

Publication date: 15 September 1994

Full work available at URL: https://doi.org/10.2307/2290850




Related Items (40)

Minimum quadratic distance density estimation using nonparametric mixturesEM-test for homogeneity in a two-sample problem with a mixture structureTesting the order of a normal mixture in meanHypothesis test for normal mixture models: the EM approachModal simulation and visualization in finite mixture modelsProbabilistic models in cluster analysisMoment-based oscillation properties of mixture modelsGeneralized likelihood‐ratio test of the number of components in finite mixture modelsSemiparametric Mixtures of Generalized Exponential FamiliesUnnamed ItemRobust estimation for the order of finite mixture modelsGeneralized weighted likelihood density estimators with application to finite mixture of exponential family distributionsA practical sampling approach for a Bayesian mixture model with unknown number of compo\-nentsIntegrated cumulative error (ICE) distance for non-nested mixture model selection: application to extreme values in metal fatigue problemsTest for homogeneity in Hardy-Weinberg normal mixture modelWeighted tests of homogeneity for testing the number of components in a mixtureTail properties and approximate distribution and expansion for extreme of LGMDTests for normal mixtures based on the empirical characteristic functionA statistical test for mixture detection with application to component identification in multidimensional biomolecular NMR studiesCovariate selection in mixture models with the censored response variable\(L_{2}E\) estimation of mixture complexity for count dataBump hunting with non-Gaussian kernelsAssessing extrema of empirical principal component functionsRobust estimation in the normal mixture modelDetermining the number of components in mixtures of linear models.MCMC for normalized random measure mixture modelsComputation of an efficient and robust estimator in a semiparametric mixture modelMinimum Hellinger distance estimation for a semiparametric location-shifted mixture modelRobust estimation of mixing measures in finite mixture modelsMultivariate mode hunting: Data analytic tools with measures of significanceGamma Mixture: Bimodality, Inflexions and L-MomentsConsistency of minimizing a penalized density power divergence estimator for mixing distributionRobust estimation of mixture complexity for count dataMinimum disparity computation via the iteratively reweighted least integrated squares algorithmsThe Mixturegram: A Visualization Tool for Assessing the Number of Components in Finite Mixture ModelsOn consistency of the MLE under finite mixtures of location-scale distributions with a structural parameterTesting for monotonicity of a regression mean by calibrating for linear functions.Multiscale maximum likelihood analysis of a semiparametric model, with applications.Empirical identifiability in finite mixture modelsParameterizing mixture models with generalized moments




This page was built for publication: A Graphical Technique for Determining the Number of Components in a Mixture of Normals