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We provide examples of chained equations algorithms (with compatible conditional models) where our identified condition is satisfied and examples where it is not satisfied.
We show that the non-informative margins condition is not satisfied, despite compatible conditional models, in a situation as simple as two continuous variables and one binary variable.
Further, we apply this proof in four specific cases and conduct a simulation study which explores the consequences when the conditional models are compatible but the conditions otherwise are not satisfied.
Also, we have shown that compatibility of the conditional models is not alone a sufficient condition.
Virtually all econometric models are conditional models.
We then use the proposed approach to solve some conditional models encountered in the field of chemical engineering.
For the general intra-class models, the optimal designs can be obtained by a mixture of the optimum designs for the conditional models.
Transcribed speech is used to estimate conditional models of the acoustics given a phonemesequence.
Thus, the taxonomy of models presented in this paper is as follows: (1) unconditional models, (2) simple conditional models and (3) full conditional models.
Connected with this problem was the need to employ multiple simple conditional models at level 3.
Our conditional models were therefore as follows (See the conditional models below): We used MICE to draw five multiple imputations per missing value,o and repeated the process through 100 cycles.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com