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Next, we are going to investigate the degree of constraint violation for the proposed method in this paper and the expectation method presented in [9].
Though the expectation method is a convenient way of dealing with stochastic programs [9, 10], it may not ensure that the optimal solution is robust as well as having optimal values of objective functions in general.
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The FPC scores can be estimated via the conditional expectation method proposed by Yao et al. [ 25].
A generalization of the conditional expectation method in simulation-based structural reliability assessment is suggested.
To calculate E[N] we will use the conditional expectation method.
By expectation method, the authors in [9] transformed Problem (1.1) into the following deterministic model: (1.2). and developed an algorithm to obtain an approximate solution of the original problem.
In case of missing values for the cardiovascular variables, values were imputed using the Expectation Maximization method, which is an iterative optimization method to estimate some unknown parameters, given measurement data [34].
In this study, we compare imputation results for the Expectation Maximization method (EM) and the mean imputation method for WOMAC in a cohort of total hip replacement patients.
The expression level (FPKM) was calculated using the expectation maximization method, and TMM normalization (trimmed mean of M-value normalization method) was applied (see Materials and Methods).
The expression level (FPKM) was calculated via the expectation maximization method and TMM normalization (trimmed mean of M-value normalization method) was applied (see Materials and Methods ).
From several algorithms available [ 34], we chose the expectation maximization method MEME (version 3.0.8) [ 35] and the Gibbs Sampling method AlignACE [ 36].
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com