Standard errors of fitted component means of normal mixture
From MaRDI portal
Publication:1298195
zbMath0924.62055MaRDI QIDQ1298195
C. J. McLachlan, D. R. Greenway, David A. Peel, Kaye E. Basford
Publication date: 15 September 1999
Published in: Computational Statistics (Search for Journal in Brave)
Related Items
The multivariate tail-inflated normal distribution and its application in finance, Maximum likelihood inference for the multivariate \(t\) mixture model, General framework and model building in the class of hidden mixture transition distribution models, Bootstrap likelihood ratio test for Weibull mixture models fitted to grouped data, Robust mixture regression modeling based on the generalized M (GM)-estimation method, An evaluation of the bootstrap for model validation in mixture models, Multivariate normal mean-variance mixture distribution based on Lindley distribution, Covariance matrix estimation of the maximum likelihood estimator in multivariate clusterwise linear regression, Automated learning of mixtures of factor analysis models with missing information, Maximum likelihood estimation for scale-shape mixtures of flexible generalized skew normal distributions via selection representation, On the distribution of posterior probabilities in finite mixture models with application in clustering, A comparison of the \(L_2\) minimum distance estimator and the EM-algorithm when fitting \(k\)-component univariate normal mixtures, Robust model-based clustering via mixtures of skew-\(t\) distributions with missing information, Flexible mixture modelling using the multivariate skew-\(t\)-normal distribution, Clustering asymmetrical data with outliers: parsimonious mixtures of contaminated mean-mixture of normal distributions, Robust clustering of COVID-19 cases across U.S. counties using mixtures of asymmetric time series models with time varying and freely indexed covariates, Inference and further probabilistic properties of the \(\mathrm{SUN}_{n,2}\)-distribution, A robust factor analysis model based on the canonical fundamental skew-\(t\) distribution, Heteroscedastic and heavy-tailed regression with mixtures of skew Laplace normal distributions, Robust mixture regression modeling based on two-piece scale mixtures of normal distributions, Bayesian model-based tight clustering for time course data, Model-based clustering and classification using mixtures of multivariate skewed power exponential distributions, Robust mixture regression modeling based on the normal mean-variance mixture distributions, Regression modeling of censored data based on compound scale mixtures of normal distributions, Mixture regression modelling based on the shape mixtures of skew Laplace normal distribution, The likelihood and Bayesian analyses for asymmetric Laplace nonlinear regression model, The location-scale mixture exponential power distribution: a Bayesian and maximum likelihood approach, Unnamed Item, Hybrid Bayesian inference on HIV viral dynamic models, Flexible regression modeling for censored data based on mixtures of Student-\(t\) distributions, A robust Birnbaum-Saunders regression model based on asymmetric heavy-tailed distributions, A robust multivariate Birnbaum–Saunders distribution: EM estimation, Location-scale mixture of skew-elliptical distributions: looking at the robust modeling, Finite mixtures of skew Laplace normal distributions with random skewness, Finite mixture modeling of censored data using the multivariate Student-\(t\) distribution, Finite mixtures of multivariate scale-shape mixtures of skew-normal distributions, Multivariate mixture modeling using skew-normal independent distributions, Robust mixture modeling based on scale mixtures of skew-normal distributions, Investigation of parameter uncertainty in clustering using a Gaussian mixture model via jackknife, bootstrap and weighted likelihood bootstrap, Heckman selection-\(t\) model: parameter estimation via the EM-algorithm, Maximum likelihood estimation for multivariate skew normal mixture models, Maximum likelihood inference for mixtures of skew Student-\(t\)-normal distributions through practical EM-type algorithms, Estimating the covariance matrix of the maximum likelihood estimator under linear cluster-weighted models, A robust multivariate Birnbaum–Saunders regression model, On finite mixtures of discretized beta model for ordered responses, A Probit Latent Class Model with General Correlation Structures for Evaluating Accuracy of Diagnostic Tests, Finite mixture modeling of censored and missing data using the multivariate skew-normal distribution, Clustering in linear-mixed models with a group fused lasso penalty