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In these studies, multiple imputation, a statistical technique that uses a statistical model to fill in plausible values for each missing data point, was used [ 24, 25].
Because we believe all the explanatory variables could affect "missingness", the data are therefore "missing not at random" (MNAR) by Rubin's taxonomy [ 13], which means that it is not possible to use the data we do know to fill in plausible values for those that are missing, because those that are missing are liable to be different in some way that our data cannot predict.
In "Plausible Portraits," James writes, "From the beginnings of civilization it has been the human likeness which has most preoccupied man.
In Plausible Portraits OF JAMES LORD: With Commentary by the Model (Farrar, Straus & Giroux, $25), he pairs these pictures with short, reflective essays in which he explores the dynamic between himself and each artist and offers his perspectives on portraiture and aesthetic truth.
In plausible value technology, several draws (mostly five [ 22]) from the posterior distributions of latent variable scores for each person are used as latent variables in the structural model.
We will speak out against those who seek to engage in plausible deniability.
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The voices of technocracy spoke in the plausible tongues of efficiency, reform and modernisation, wrapped in the cloak of inevitability.
In no plausible sense do we have a representative democracy in America today.
In addition the calibrated parameters (Table 1) are all in a plausible range.
In Dataset 1 two different scenarios unfold and both scenarios result in a plausible human-readable explanation of the activity.
This makes the government untouchable in any plausible prosecution.
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