Pages that link to "Item:Q3886828"
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The following pages link to An Iterative Procedure for Obtaining Maximum-Likelihood Estimates of the Parameters for a Mixture of Normal Distributions (Q3886828):
Displaying 19 items.
- A profile likelihood method for normal mixture with unequal variance (Q158424) (← links)
- Strong consistency of \(k\)-parameters clustering (Q391580) (← links)
- A maximum likelihood methodology for clusterwise linear regression (Q583773) (← links)
- On the consistency of MLE in finite mixture models of exponential families (Q861218) (← links)
- Maximum likelihood estimation in the multi-path change-point problem (Q1335355) (← links)
- Robust mixture regression using the \(t\)-distribution (Q1621288) (← links)
- A structured Dirichlet mixture model for compositional data: inferential and applicative issues (Q1703812) (← links)
- Consistency of the MLE under mixture models (Q1790385) (← links)
- A mixture likelihood approach for generalized linear models (Q1901393) (← links)
- Probabilistic clustering via Pareto solutions and significance tests (Q2418354) (← links)
- (Q3951381) (← links)
- Penalized Maximum Likelihood Estimator for Normal Mixtures (Q4455933) (← links)
- Estimation in the multipath change point problem for correlated data (Q4883617) (← links)
- Evaluating the Effect of Training on Wages in the Presence of Noncompliance, Nonemployment, and Missing Outcome Data (Q4916475) (← links)
- The fragility of standard inferential approaches in principal stratification models relative to direct likelihood approaches (Q4970182) (← links)
- Heteroscedastic and heavy-tailed regression with mixtures of skew Laplace normal distributions (Q5107518) (← links)
- A CLASSICAL INVARIANCE APPROACH TO THE NORMAL MIXTURE PROBLEM (Q5134475) (← links)
- A constrained maximum likelihood estimation for skew normal mixtures (Q6159678) (← links)
- Penalized maximum likelihood estimator for mixture of von Mises-Fisher distributions (Q6175798) (← links)
