𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Multivariate statistical interpretation of coastal sediment monitoring data

✍ Scribed by V. Simeonov; I. Stanimirova; S. Tsakovski

Publisher
Springer
Year
2001
Tongue
English
Weight
34 KB
Volume
370
Category
Article
ISSN
1618-2650

No coin nor oath required. For personal study only.

πŸ“œ SIMILAR VOLUMES

Multivariate statistical mapping of spec
Multivariate statistical mapping of spectroscopic imaging data
✍ Karl Young; Varan Govind; Khema Sharma; Colin Studholme; Andrew A. Maudsley; Nor πŸ“‚ Article πŸ“… 2009 πŸ› John Wiley and Sons 🌐 English βš– 152 KB

## Abstract For magnetic resonance spectroscopic imaging studies of the brain, it is important to measure the distribution of metabolites in a regionally unbiased way; that is, without restrictions to a priori defined regions of interest. Since magnetic resonance spectroscopic imaging provides meas

Presentation and interpretation of Sedim
Presentation and interpretation of Sediment Quality Triad data
✍ Peter M. Chapman πŸ“‚ Article πŸ“… 1996 πŸ› Springer 🌐 English βš– 772 KB

: Updated guidance is provided for presenting and interpreting individual Sediment Quality Triad components (Triad: chemistry, toxicity and community structure), and for the integration of all components. Three separate methods are identified: summary indices, tabular decision matrices, and multivar

Multivariate Statistical Process Monitor
Multivariate Statistical Process Monitoring Using Kernel Density Estimation
✍ Liang, J. πŸ“‚ Article πŸ“… 2008 πŸ› Curtin University of Technology 🌐 English βš– 426 KB πŸ‘ 1 views

## Abstract In this paper, a general kernel density estimator has been introduced and discussed for multivariate processes in order to provide enhanced real‐time performance monitoring. The proposed approach is based upon the concept of kernel density function, which is more appropriate to the unde