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In Section 3, the details of the existing localization methods using the sample median are addressed.
A Parker ratings variable was constructed using the median rating for the winery if available and using the sample median for those wineries with no ratings.
In contrast, when statistical testing indicates that the sensor in the LOS/NLOS state is valid, the WSE loss function using the sample median is adopted.
That is, the WSE loss function based on the sample mean is more efficient than that using the sample median when no outlier exists.
At first, the proposed adaptive LOS/NLOS mixture localization method uses the WSE loss function based on the sample mean when the sensor is judged by the LOS sensor and the WSE loss function using the sample median if the sensor is predicted to be the LOS/NLOS sensor.
It is clear that the MSE averages of the proposed methods, the ANLOS and ATWLS algorithms, are lower than those of the non-adaptive LS, adaptive two-step LS (ATLS), adaptive one-step WLS (AWLS (one-step)), Gauss-Newton methods using the sample median and M-estimator.
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When no optimal cut-off point was found, we used the sample median for the analysis of time to relapse and survival.
In this case, instead of using the sample mean or the sample median, the optimal solution minimizes the sum of logarithmic square deviations, referred as the Least Lorentzian Squares (LLS) criterion [16].
The characteristics of the data were presented using the sample size, median, range and percentages.
A dichotomous variable was created using the sample's median score of 4, and women were classified as perceiving stress (a score greater than 4) or not perceiving stress.
The proposed estimators showed superior MSE average performances compared to those of the other localization methods using only the sample median, ATLS, and AWLS (one-step) estimators when the contamination ratio was moderate.
More suggestions(15)
using the sample data
using the sample absorption
using the sample variance
using the sample density
using the sample index
using the sample correlation
using the sample design
using the sample video
using the sample recovery
using the sample average
using the sample preparation
using the sample height-dbh
using the sample lanthanum
using the sample set
using the sample size
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