𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Management and multivariate analysis of large data sets in vegetation research

✍ Scribed by Wildi, Otto

Publisher
Springer-Verlag
Year
1980
Tongue
English
Weight
368 KB
Volume
42
Category
Article
ISSN
1573-5052

No coin nor oath required. For personal study only.

πŸ“œ SIMILAR VOLUMES

Data management and curation of research
Data management and curation of research data in academic scientific research environments
✍ Barrie Hayes; James Harroun; Brenda Temple πŸ“‚ Article πŸ“… 2009 πŸ› Wiley (John Wiley & Sons) 🌐 English βš– 41 KB

## Abstract The Structural Bioinformatics Core Facility at the University of North Carolina at Chapel Hill (SBI Core) assists researchers university‐wide in computational structural biology techniques and incorporating structural biology/bioinformatics into their grants and publications. The SBI Co

Variable selection in large environmenta
Variable selection in large environmental data sets using principal components analysis
✍ Jacquelynne R. King; Donald A. Jackson πŸ“‚ Article πŸ“… 1999 πŸ› John Wiley and Sons 🌐 English βš– 117 KB πŸ‘ 2 views

In many large environmental datasets redundant variables can be discarded without the loss of extra variation. Principal components analysis can be used to select those variables that contain the most information. Using an environmental dataset consisting of 36 meteorological variables spanning 37 y

Quantitative data analysis of in vivo MR
Quantitative data analysis of in vivo MRS data sets
✍ A. van den Boogaart πŸ“‚ Article πŸ“… 1997 πŸ› John Wiley and Sons 🌐 English βš– 277 KB πŸ‘ 2 views

The di †erent characteristics between frequency domain and time domain analysis techniques are detailed for their application to in vivo MRS data sets. With the aim of quantitative analysis of MRS signals, i.e. estimation of parameters in the physical model function that describes the MRS experiment