Pages that link to "Item:Q5135552"
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The following pages link to Allometric analysis using the multivariate shifted exponential normal distribution (Q5135552):
Displaying 13 items.
- Two new matrix-variate distributions with application in model-based clustering (Q830561) (← links)
- Unconstrained representation of orthogonal matrices with application to common principal components (Q2032213) (← links)
- New bivariate and multivariate log-normal distributions as models for insurance data (Q2143523) (← links)
- Dimension-wise scaled normal mixtures with application to finance and biometry (Q2146462) (← links)
- Model-based clustering via new parsimonious mixtures of heavy-tailed distributions (Q2151998) (← links)
- An overview of heavy-tail extensions of multivariate Gaussian distribution and their relations (Q5044660) (← links)
- Parsimonious mixtures for the analysis of tensor-variate data (Q6063148) (← links)
- High-dimensional hypothesis testing for allometric extension model (Q6113076) (← links)
- Model-based clustering using a new multivariate skew distribution (Q6552947) (← links)
- A Laplace-based model with flexible tail behavior (Q6554263) (← links)
- Multiple scaled symmetric distributions in allometric studies (Q6637092) (← links)
- Parsimony and parameter estimation for mixtures of multivariate leptokurtic-normal distributions (Q6653074) (← links)
- Skew multiple scaled mixtures of normal distributions with flexible tail behavior and their application to clustering (Q6657931) (← links)
