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It is the most complex and multiple set of values found.
MI procedure first replaces missing values with multiple sets of simulated values to complete the data, then applies standard analyses to each completed data set, and finally adjusts the obtained parameter estimates for missing-data uncertainty.
(i a signal into a set of signals ; (ii)a set of time values ("Vt") into multiple sets of time values ("VVt").
Our MI procedure replaces missing values of union membership with multiple sets of simulated values to complete the data, applies standard regression techniques (OLS; FE; CRE_Poisson) to analyse each completed data set and adjusts the obtained parameter estimates for missing-data uncertainty by means of Rubin's Rules.
Various iteration chains would be formed if multiple sets of initial values of GR statistics were input in the software.
To prevent ending up with a local solution, multiple sets of starting values are used.
Various results of data analysis are obtained for the five different complete data sets, which are constructed from multiple sets of plausible values.
The identifiability problem means that there could be multiple sets of parameter values for which the model fits the data equally well.
First, it is possible to have multiple sets of parameter values that are equally likely to produce the observed data and finding the "best" parameter set might be insufficient to fully characterize a biological system if such a parameter set is not the only set with biological relevance [ 15].
Thus, we used multiple sets of different starting values as recommended by [ 33, 37].
The tool can handle missing calls and use multiple sets of randomly-generated initial values for multiple EM runs.
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