Pages that link to "Item:Q5575196"
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The following pages link to Estimating the components of a mixture of normal distributions (Q5575196):
Displaying 50 items.
- Estimation of a Discriminant Function Based on Small Sample Size from a Mixture of Two Gumbel Distributions (Q3577196) (← links)
- Bootstrapping in a high dimensional but very low-sample size problem (Q3589980) (← links)
- An Efficient Estimation for Switching Regression Models: A Monte Carlo Study (Q3590015) (← links)
- The use of measured genotype information in the analysis of quantitative phenotypes in man. (Q3731418) (← links)
- (Q3746675) (← links)
- A Comment on Maximum Likelihood Estimation for Finite Mixtures of Distributions (Q3798040) (← links)
- Estimating mixtures of normal distributions via empirical characteristic function (Q3842861) (← links)
- The evaluation of classification techniques (Q3875129) (← links)
- A comparison of the mixture and classification approaches to cluster analysis (Q3917347) (← links)
- (Q3951381) (← links)
- Updating discriminant functions estimated from inverse gaussian populations (Q4019272) (← links)
- An empirical sensitivity study of mixture proportion estimators (Q4131436) (← links)
- Über einen stochastischen Ansatz zur Lösung von Klassifikationsproblemen (Q4131456) (← links)
- Counting methods (EM algorithm) in human pedigree analysis: Linkage and segregation analysis (Q4138561) (← links)
- The numerical evaluation of the maximum-likelihood estimate of mixture proportions (Q4139464) (← links)
- Concerning several methods for estimating crop acreages using remote sensing data (Q4139508) (← links)
- Information and mixtures of two normal distributions (Q4142511) (← links)
- Population mixture models and clustering algorithms (Q4144610) (← links)
- A use of mixtures of two normal distributions in a classification problem (Q4162326) (← links)
- A Case Study of two Clustering Methods based on Maximum Likelihood (Q4189977) (← links)
- Maximum likelihood estimation of a mixture of normal regressions: starting values and singularities (Q4232058) (← links)
- Delta method approach in a certain irregular condition (Q4240727) (← links)
- Convex linear combinations of compositions (Q4267767) (← links)
- On MLE of a nonlinear discriminant function from a mixture of two Gompertz distributions based on small sample size (Q4453886) (← links)
- Smooth estimates of normal mixtures (Q4527898) (← links)
- Updating a discriminant function on the basis of unclassified data (Q4745167) (← links)
- On the effects of predictor misclassification in multiple linear regression analysis (Q4843917) (← links)
- Evaluating the Effect of Training on Wages in the Presence of Noncompliance, Nonemployment, and Missing Outcome Data (Q4916475) (← links)
- Estimation of a nonlinear discriminant function from a mixture of two GEV distributions (Q4960599) (← links)
- The fragility of standard inferential approaches in principal stratification models relative to direct likelihood approaches (Q4970182) (← links)
- Latent regression analysis (Q4970576) (← links)
- A CLASS OF TRIPLE MIXTURED DISTRIBUTIONS (Q5036028) (← links)
- A new look at the inverse Gaussian distribution with applications to insurance and economic data (Q5036583) (← links)
- Some Computational Aspects of Maximum Likelihood Estimation of the Skew-t Distribution (Q5050402) (← links)
- A CLASS OF TWO FOLDED MIXTURE DISTRIBUTIONS (Q5069472) (← links)
- On Cluster-Aware Supervised Learning: Frameworks, Convergent Algorithms, and Applications (Q5084663) (← links)
- Testing for qualitative interaction of multiple sources of informative dropout in longitudinal data (Q5124844) (← links)
- A mixture of Gaussians approach to mathematical portfolio oversight: the EF3M algorithm (Q5245357) (← links)
- Finite Mixture of Linear Regression Models: An Adaptive Constrained Approach to Maximum Likelihood Estimation (Q5348623) (← links)
- Information matrix for a mixture of two normal distributions (Q5660374) (← links)
- A simple root selection method for univariate finite normal mixture models (Q5866113) (← links)
- Warp Bridge Sampling: The Next Generation (Q5885108) (← links)
- General Concept of the Analysis of Thin Elastic Shells (Q5903261) (← links)
- Extending mixtures of multivariate \(t\)-factor analyzers (Q5917854) (← links)
- Feature-based fuzzy classification for interpretation of mammograms (Q5938747) (← links)
- Determining the number of components in mixtures of linear models. (Q5958421) (← links)
- Maximum likelihood estimation in constrained parameter spaces for mixtures of factor analyzers (Q5962735) (← links)
- Avoiding spurious local maximizers in mixture modeling (Q5963733) (← links)
- Extending mixtures of multivariate \(t\)-factor analyzers (Q5970613) (← links)
- A survey on model-based co-clustering: high dimension and estimation challenges (Q6138123) (← links)