Multivariate normality testing plays a critical role in modern statistical analysis by evaluating whether a multivariate dataset conforms to the assumptions of a normal distribution. Such assessments ...
Pseudo-likelihood Estimation of Multivariate Normal Parameters in the Presence of Left-Censored Data
Environmental data often include left-censored values reported to be less than some limit of detection (LOD). While simple imputation of a specific value such as LOD/2 is common, maximum likelihood ...
This paper compares the estimative and predictive methods of estimating a multivariate normal density, and shows that in terms of a goodness-of-fit criterion based on an information measure, the ...
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