Suggestions(1)
Exact(1)
In quantitative genetics, the analysis often focuses on a set of continuous correlated variables that follow some multivariate distribution; these variates could be, for example, additive genetic effects for K traits.
Similar(59)
The next question we addressed was whether or not methodology that attempts to capture the high-dimensional multivariate distribution of lesion damage can overcome these difficulties.
The multivariate distribution of the present data does not meet these recommendations indicating the multivariate distribution is non-normal.
As stated by Sklar (1959), copula couples the multivariate distribution to its marginal distributions which are uniformly distributed on [0,1].
These random effects are in turn assigned a joint normal multivariate distribution whose covariance matrix models the spatial autocorrelation structure.
Therefore, any multivariate distribution is applicable.
Copula is a function with multivariate distribution.
First, the multivariate distribution of the asset returns is fitted by a multivariate distribution.
We consider new plausible distribution candidates to tackle the multivariate distribution modeling challenges.
In other words, the multivariate distribution is coupled to its marginal distributions.
Therefore, the distribution of market returns is fitted by a multivariate distribution.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com