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We sought to address this in the analysis using multiple imputation methods which assumes missing data are only related to data we have measured and observed.
We developed a model for the irreversible growth of planar sheets (see Methods), which assumes that some fraction f of proteins serve as sites where nanosheet formation initiates; subsequent nanosheet growth is driven by diffusion of proteins onto the perimeter of the sheets, where their attachment is characterized by an effective cross section per monomer, σ.
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In these cases, methods which assume a multinormal distribution for the variables are not ideal.
This situation can not be handled with traditional multi-criteria decision making methods which assume criteria independence.
Traditionally, this analysis is performed by the use of signal processing methods, which assume statistically stationary signal features.
In contrast to most of the existing DMPC methods which assume flawless communication, we employ a specific channel model to consider a number of realistic data transmission scenarios.
Traditionally, fault diagnosis of rolling element bearings is carried out performed by the use of signal processing methods, which assume statistically stationary signal features.
In this way the method overcomes a limitation of the above mentioned methods which assume a homogeneous background for the whole ROI.
d The term Time-To-Collision is often used to refer specifically to collision detection methods which assume a constant velocity for the vehicles.
Using measurements at 2.5 times the average building height, a source area model is used to determine aerodynamic roughness parameters using two morphometric methods, which assume homogeneous and variable roughness-element heights, respectively.
Simulation results have demonstrated that the proposed scheme can provide not only better energy efficiency as compared to those obtained by conventional methods which assume random waypoint for the mobile sink, but also fault-resilience in case of malfunctions of some sensors due to attacks.
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CEO of Professional Science Editing for Scientists @ prosciediting.com