## 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
Chemical mapping and Multivariate Statistical Analysis (prospect)
β Scribed by N. Bonnet; P. Hannequin
- Publisher
- Elsevier Science
- Year
- 1989
- Tongue
- English
- Weight
- 764 KB
- Volume
- 28
- Category
- Article
- ISSN
- 0304-3991
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
We prove some new results on the classification of metrics. These types of metrics include the ultrametrics, the additive metrics, the L p -embeddable metrics, the hypermetrics, the metrics of negative type and the metrics with one positive eigenvalue. We pose many open questions.
Ten different diesel fuels were tested for 26 physical and 45 chemical parameters. Principal components analysis (PCA) was used for statistical analysis of the physical and chemical data separately and combined. Physically, these and similar fuels may be described in a few general terms, such as vis
In this chapter we discuss techniques for multivariate meta-analysis with some examples. It will be seen that the methods of multivariate meta-analysis can be applied quite generally, irrespective of the nature of effect of interest, be it based on means, proportions, odds ratio, or correlations. Mo
Robust Statistics Sets Out To Explain The Use Of Robust Methods And Their Theoretical Justification. It Provides An Up-to-date Overview Of The Theory And Practical Application Of Robust Statistical Methods In Regression, Multivariate Analysis, Generalized Linear Models And Time Series. Robust Statis