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"Hierarchical models and cost equations" section illustrates the hierarchical modeling process and cost equations.
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The results obtained from the dependability models and cost equations are then used in the next step to assist in the decision-making process.
This assumption is suitable for simple cases (e.g., buffer models and cost functions modeling buffer congestion), but does not hold for more complex FSM models and general cost functions.
Specifically, iterative algorithms such as Arithmetic Reconstruction Technique (ART), Maximum Likelihood Expectation Maximization (MLEM), Simultaneous Iterative Reconstruction Technique (SIRT), and Penalized Maximum Likelihood (PML) [3] use statistical models and cost functions to iteratively converge to a refined solution consistent with the measured data.
Absolute effects are used within decision models and cost effectiveness analyses, which are highly influential to decision makers such as the National Institute of Health and Clinical Excellence NICEE).
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It comes in 4 GB and 8 GB models and costs $499 and $599, respectively.
We will employ linear mixed-effect models and cost-effectiveness analyses to evaluate the outcomes.
This is often missing in osteoporosis models and cost-effectiveness models in general.
For commercial products, licensing models and costs can differ dramatically.
Google, she said, has an entirely different business model and cost structure.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com