𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Outlier detection in chemical data by fractal analysis

✍ Scribed by Jeffrey A. Cramer; Sitaram S. Shah; Tina M. Battaglia; Soame N. Banerji; Louis A. Obando; Karl S. Booksh


Publisher
John Wiley and Sons
Year
2004
Tongue
English
Weight
181 KB
Volume
18
Category
Article
ISSN
0886-9383

No coin nor oath required. For personal study only.


πŸ“œ SIMILAR VOLUMES


Robust principal component analysis and
✍ Donald A. Jackson; Yong Chen πŸ“‚ Article πŸ“… 2004 πŸ› John Wiley and Sons 🌐 English βš– 102 KB

## Abstract Ecological studies frequently involve large numbers of variables and observations, and these are often subject to various errors. If some data are not representative of the study population, they tend to bias the interpretation and conclusion of an ecological study. Because of the multi

On Rohlfβ€²s Method for the Detection of O
✍ C. Caroni; P. Prescott πŸ“‚ Article πŸ“… 1995 πŸ› Elsevier Science 🌐 English βš– 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

Automatic fault detection in gearboxes b
✍ A. Joentgen; L. Mikenina; R. Weber; A. Zeugner; H.-J. Zimmermann πŸ“‚ Article πŸ“… 1999 πŸ› Elsevier Science 🌐 English βš– 775 KB

The main objective of machine diagnosis is the early recognition of mechanical defects in a machine, which is often referred to as preventive maintenance. This may result in the reduction of faults and higher machine availability. Preventive maintenance can be performed periodically in fixed time in