Sentence examples for a multivariate distribution from inspiring English sources

Instead, we are examining the second moment of a multivariate distribution.

This requires a multivariate distribution underlying a pre-chosen model for the data.

The kurtosis curve is actually a Lorenz curve designed to measure heaviness of tails of a multivariate distribution.

A thorough statistical description requires the joint use of their marginal laws to obtain a multivariate distribution.

This paper presents a finite mixture model that involves a pair-copula based construction of a multivariate distribution.

To overcome this, we propose using a multivariate distribution model of distinct tensor components to characterise the variability of stress tensors referred to a common Cartesian coordinate system.

A multivariate generalization of classical order statistics for random samples from a continuous multivariate distribution was defined by Corley [18].

Because all parameters are modeled in a single multivariate distribution process, substitution rates and morphological traits can be analyzed in a single statistical framework [ 33].

It is common to construct a consistent multivariate distribution from non-normal marginals and Pearson product moment correlations using the well known translation approach.

More specifically, we construct a discrete multivariate distribution (see, e.g., Johnson et al. (1997)), all of whose lower-dimensional marginals follow the same symmetric distribution but the joint distribution does not conform to that pattern and has a different distribution.

The Dirichlet distribution is a continuous multivariate distribution over discrete probability distributions (that is, vectors of pre-determined size that contain non-negative elements that sum to one).