Voxel-based analyses of tissue characteristics such as volume and T2 are usually carried out in isolation. However, as the images are analysed in a common voxel-based framework, it is possible to directly assess the spatial relationships of abnormalities detected by each technique. We utilize this approach in well-characterized patients with unilateral temporal lobe epilepsy (TLE) with hippocam...

Control charts have been used effectively for years to monitor processes and detect abnormal behaviors. However, most control charts require a specific distribution to establish their control limits. The bootstrap method is a nonparametric technique that does not rely on the assumption of a parametric distribution of the observed data. Although the bootstrap technique has been used to develop u...

Traditional multivariate control charts assume that measurement from manufacturing processes follows a multivariate normal distribution. However, this assumption may not hold or may be difficult to verify because not all the measurement from manufacturing processes are normal distributed in practice. This study develops a new multivariate control chart for monitoring the processes with non-norm...

Abstract. Outliers are datums that far from other datums. arise as a result of unusual events may be very important and need to investigated further. usually found in data has daily characteristics such stock data. With this outlier, the T2 Hotelling control chart used average vector shift becomes insensitive changes process. This thesis discusses for Minimum Volume Ellipssoid (MVE) estimator w...

in statistical quality control a very widely used measure is average run length (arl) which may be worked out by different methods like integral equation, approximations, and monte carlo simulations. the arl measure and the other related measures are of major significance in every type of production process. an omission in its computation (and hence its related measures such as extra quadratic ...

Abstract In environmental surveillance, cluster detection of black spots is major interest due to the adverse health effects pollutants, as well their known synergistic effect. Thus, this paper introduces three new spatial scan statistics for multivariate functional data, applicable detecting clusters abnormal air pollutants concentrations measured spatially at a very fine scale in northern Fra...