Sentence examples for measurement errors including from inspiring English sources

From numerical experiments, we can draw conclusions: (I) an l1 data fidelity can suppress measurement errors including Gaussian noise and non-Gaussian noise; (II) a total variation penalty term has the ability to identify sharp features.

By assuming all the measurement errors including the LOS and NLOS errors as unknown, reference [11] introduces the Dirichlet Process Mixtures (DPM), a hierarchical mixture model to describe the unknown density; a Bayesian nonparametric method is further applied for density estimation.

Other limitations include: the socio-cultural context in the construction of the different risk factors, the possibility of measurement errors including measurement of prevalence based on self-reported responses, and the possibility of recall bias.

Many factors exist that possibly increase the measurement error including the coupling of the probe and tissue, environmental factors, and movement of the probe or of the tissue during the measurement process.

The dosimetry model was based on inputs with multiple sources of measurement error including release estimates, data on environmental dispersion, dietary recall of usual milk consumption from mothers, and assumptions about bioavailability and biokinetics.

Bias in ORs due to differential measurement error (including away from the null) might occur if the outcome is already known to the person using the strip [ 11], whereas linkage-based methods can be applied objectively.

To select the signs and symptoms for analysis, we have had to compromise between the desire to use as many items as possible from the database (more than 400 items were available) and the need to minimize noise due to measurement error, including missing data.

Design The Observing Protein and Energy Nutrition (OPEN) study, which was designed to assess dietary measurement error, included men and women aged 40 to 69 years.

In the three-dimensional mobile node localization algorithm presented in this paper, the distance measurement error included system errors and random noise.

Standard approaches for dealing with this sort of measurement error include the use of nonparametric bounds, instrumental variable estimation, and direct modeling.

Regarding the algorithms, four scheme or algorithms are compared in [7, 49, 52], by using statistical measurements of the errors, including Root Mean Square Error (RMSE) values.