✦ LIBER ✦

Detection and accommodation of multivariate statistical outliers

✍ Scribed by M.A.A. Moussa

Publisher: Elsevier Science
Year: 1983
Weight: 618 KB
Volume: 16
Category: Article
ISSN: 0010-468X
DOI: 10.1016/0010-468x(83)90083-1

No coin nor oath required. For personal study only.

✦ Synopsis

This paper deals with the problem of identifying and testing a number of extreme sample elements ( t = !. 2. 3 and ,1) as significant outliers in a sample of size n from a K-dimensional normal distribution with unknown parameters. Accommodation of detected outliers is effected through outlier-robust estimation of muhivariat., location (mean vector) and dispersion (variance-covariance matrix).

📜 SIMILAR VOLUMES

On Rohlf′s Method for the Detection of O

On Rohlf′s Method for the Detection of Outliers in Multivariate Data

✍ C. Caroni; P. Prescott 📂 Article 📅 1995 🏛 Elsevier Science 🌐 English ⚖ 510 KB

Rohlf (1975, Biometrics 31, 93-101) proposed a method of detecting outliers in multivariate data by testing the largest edge of the minimum spanning tree. It is shown here that tests against the gamma distribution are extremely liberal. Furthermore, results depend on the correlation structure of the

Finding causes of outliers in multivaria

Finding causes of outliers in multivariate environmental data

✍ Forest C. Garner; Martin A. Stapanian; Kirk E. Fitzgerald 📂 Article 📅 1991 🏛 John Wiley and Sons 🌐 English ⚖ 438 KB 👁 1 views

Detection of local and global outliers i

Detection of local and global outliers in mapping studies

✍ L. M. Ainsworth; C. B. Dean 📂 Article 📅 2007 🏛 John Wiley and Sons 🌐 English ⚖ 682 KB

## Abstract In mapping studies, extreme risk areas may arise in proximity to one another in a smooth spatial surface. They may also arise as isolated ‘hotspots’ or ‘lowspots’, which are quite distinct from those of neighbouring sites. In this paper, we develop spatial methods which encompass both t

DETECTION OF INCIPIENT TOOTH DEFECT IN H

DETECTION OF INCIPIENT TOOTH DEFECT IN HELICAL GEARS USING MULTIVARIATE STATISTICS

✍ N. BAYDAR; Q. CHEN; A. BALL; U. KRUGER 📂 Article 📅 2001 🏛 Elsevier Science 🌐 English ⚖ 546 KB

Multivariate statistical techniques have been successfully used for monitoring process plants and their associated instrumentation. These techniques e!ectively detect disturbances related to individual measurement sources and consequently provide diagnostic information about the process input. This

Detection, estimation, and accommodation

Detection, estimation, and accommodation of loss of control effectiveness

✍ N. Eva Wu; Youmin Zhang; Kemin Zhou 📂 Article 📅 2000 🏛 John Wiley and Sons 🌐 English ⚖ 204 KB 👁 1 views

In this paper, an adaptive Kalman "ltering algorithm is developed for use to estimate the reduction of control e!ectiveness in a closed-loop setting. Control e!ectiveness factors are used to quantify faults entering control systems through actuators. A set of covariance-dependent forgetting factors

Multivariate analysis of statistically p

Multivariate analysis of statistically poor EDXRD spectra for the detection of concealed explosives

✍ R. D. Luggar; M. J. Farquharson; J. A. Horrocks; R. J. Lacey 📂 Article 📅 1998 🏛 John Wiley and Sons 🌐 English ⚖ 535 KB

Energy dispersive x-ray di †raction (EDXRD) has been developed as a tool for the detection of explosives in passenger baggage. The measured spectra result from the combined di †raction from each of the materials within a scattering volume. Multivariate regression was used to identify known component