How to cite this article: Sampaio LP, Raveli DB, Santos-Pinto A, Landázuri DRG, Maia SA. Influence of the banded Herbst appliance on dental changes in mixed dentition. Dental Press J Orthod. 2012 Jan-Feb;17(1):44.e1-10. » The author reports no commercial, proprietary, or financial interest in the products or companies described in this article. Influence of the banded Herbst appliance on dental...

Informal box plot identification of outliers in realworld medical data was studied. Box plots were used to detect univariate outliers directly whereas the box plotted Mahalanobis distances identified multivariate outliers. Vertigo and female urinary incontinence data were used in the tests. The removal of outliers increased the descriptive classification accuracy of discriminant analysis functi...

Identification of outliers in multivariate data is not trivial. especially when there exists several outliers in the data. The classical identification method based on the sample mean and sample covariance matrix cannot always find them, because the classicd rnean and covariance matris are themselves affected by outliers. This problem is termed as masting7 because the outliers get maslied by ea...

PURPOSE: In the UK, primary care databases include repeated measurements of health indicators at the individual level. As these databases encompass a large population, some individuals have extreme values, but some values may also be recorded incorrectly. The challenge for researchers is to distinguish between records that are due to incorrect recording and those which represent true but extrem...

Gaussian Process Regression (GPR) is a powerful Bayesian method. However, the performance of GPR can be significantly degraded when the training data are contaminated by outliers, including target outliers and input outliers. Although there are some variants of GPR (e.g., GPR with Student-t likelihood (GPRT)) aiming to handle outliers, most of the variants focus on handling the target outliers ...

Precise localization has attracted considerable interest in Wireless Sensor Networks (WSNs) localization systems. Due to the internal or external disturbance, the existence of the outliers, including both the distance outliers and the anchor outliers, severely decreases the localization accuracy. In order to eliminate both kinds of outliers simultaneously, an outlier detection method is propose...