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...

This paper proposes a method for local deformation analysis of the heart's left ventricle (LV) which is of an utmost interest in characterizing the myocardium disease extent and severity. Our method is based on regional curvature variation calculation using the Hotelling T2 two samples difference metric. Our approach is validated on real data obtained from myocardial scintigraphy imaging techni...

This work is concerned with testing the population mean vector of nonnormal high-dimensional multivariate data. Several tests for high-dimensional mean vector, based on modifying the classical Hotelling T2 test, have been proposed in the literature. Despite their usefulness, they tend to have unsatisfactory power performance for heavy-tailed multivariate data, which frequently arise in genomics...

An in-line monitoring method for the elution process of Ginkgo biloba L. leaves using visible and near-infrared spectroscopy in conjunction with multivariate statistical control (MSPC) was established. Experiments, including normal operating batches abnormal ones, were designed carried out. The MSPC model developed validated. abnormalities detected successfully by charts principal component sco...

In this paper, we propose a new method for longitudinal shape analysis that fits a linear mixed-effects model, while simultaneously optimizing correspondences on a set of anatomical shapes. Shape changes are modeled in a hierarchical fashion, with the global population trend as a fixed effect and individual trends as random effects. The statistical significance of the estimated trends are evalu...