Sentence examples for multivariate normal example from inspiring English sources

From the multivariate normal example above it is straightforward to show that the non-informative margins condition of Proposition 1 holds for imputing any W j. The conditional distribution of Y given W, p(Y ∣  W, ψ Y ), is the logistic regression model with covariates W[ 25].

We give examples of chained equations algorithms that satisfy the non-informative margins condition when the joint model is the multivariate normal model and the saturated multinomial model, and examples where this condition is not satisfied when the joint model is an unsaturated multinomial model and the general location model.

Two distinct approaches are used the multivariate normal model and the chained equations approach.

The multivariate normal model was introduced by Rubin (1987; see also Little & Rubin 2002).

To begin with, the multivariate normal model has theoretical underpinnings whereas MICE does not.

In this paper, we reviewed two approaches to multiple imputation the multivariate normal model and the chained equations approach.

A multivariate normal model was assumed for.

This multivariate normal model fitted the data adequately.

This means the normal copula model is more robust than the multivariate normal model.

Multivariate normal mixture model clustering results of the Tamba area.

(a) Calculate a spatial density map of the previous earthquakes in the area using a multivariate normal mixture model.