Missing data for these variables were imputed using unconditional imputation: imputation of the mean for continuous variables or the mode for categorical variables [20].
As is clear from the output below, we successfully imputed all the incomplete values (Figure 2). Figure 2 Imputation of the incomplete values.
Estimated associations in each of the imputed datasets differed because of the variation introduced in the imputation of the missing values.
In winner-takes-all, after the clean speech is imputed for each Gaussian belonging to state s, the mixture's likelihood is evaluated for all imputed values and the most likely imputation is selected as the imputation of the state.
For the present study, we propose a new method for imputation of the relative risk function.
Moreover, additional adjustments would still be needed to take proper account for the imputation of the skill measurements.
Section 5 explains how to further speed up the imputation of the CG by selecting a subset of the CG dynamically.
In the second step, we now create more than one imputation of the background data (which would result in, say, M = 5 data sets).
However, since the likelihood computation in an MDT system involves the imputation of the unknown data, many conventional methods do not apply readily.
The steps for multiple imputation involve: Imputation: This step involves the imputation of the missing values several times depending on the number of imputations stated.
This article is focused on the three blocks in the middle, i.e., the imputation of the (cluster of) CG and MC imputation for the backend Gaussians (BGs).
