COVRATIO Statistic as a Discrimination Method for Multivariate Normal Distribution

Screening for a Multivariate Mixture Normal Distribution

COVRATIO Statistic for Simple Circular Regression Model

ABSTARCT Few studies have considered the modeling of a linear relationship between two cir-cular variables or circular regression model. However, the problem of outlier detection in these models has not received enough consideration. This paper extends the COVRATIO statistic which is originally used to identify outliers in linear regression model. It is our aim to further exploit this approach ...

screening for a multivariate mixture normal distribution

Outlier Detection in a Circular Regression Model Using COVRATIO Statistic

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tmvtnorm: A Package for the Truncated Multivariate Normal Distribution

Abstract In this article we present tmvtnorm, an R package implementation for the truncated multivariate normal distribution. We consider random number generation with rejection and Gibbs sampling, computation of marginal densities as well as computation of the mean and covariance of the truncated variables. This contribution brings together latest research in this field and provides useful met...