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These methods include local methods, such as Nearest Neighbor (NN), mean, linear interpolation, spline and Expectation Maximization (EM).
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Simple local methods for data imputation such as NN, Mean and Linear Interpolation were shown to be effective, especially when signal's average levels are estimated (Junninen et al. 2004).
In order to make a more general and flexible channel model, here we modify the IEEE CM4 UWB WBAN channel model by means of linear interpolation.
In-house software (developed initially for commercial aerospace engineering), allowed accurate finite element analysis (FEA) models of the whole femur to be created, including the internal architecture of the bone, by means of linear interpolation of greyscale images from multiaxial CT scans.
Hence, we retrieved cM value by means of linear interpolation between the two closest markers with known genetic distance.
Additionally, analysis of changes in clinical outcomes was assessed by means of linear interpolation for missing data and multiple regression techniques to account for factors that may influence the change in HbA1c.
Prevalence, with a breakdown by year, sex and age, of smoking, overweight, obesity, arterial hypertension, hypercholesterolaemia and diabetes mellitus obtained from self-report data in the 1987,1993, 1995, 1997, 2001, 2003 and 2006 National Health Surveys, 28 with data for the intermediate years being estimated by means of linear interpolation of data for the pivotal years.
Prominent single variable methods are replacing missing values with the available samples' mean, nearest neighbor (NN), linear interpolation and spline (Junninen et al. 2004).
It means that a simple linear interpolation is used in SRC block.
We compared simple linear interpolation with minimum mean squared error (MMSE) interpolation (see, e.g., [35, Chapter 5]).
Mean gas residence time was evaluated by linear interpolation between the measurement points.
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