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Guidelines for using variable selection techniques in data envelopment analysis

โœ Scribed by Niranjan R. Nataraja; Andrew L. Johnson


Book ID
113583747
Publisher
Elsevier Science
Year
2011
Tongue
English
Weight
432 KB
Volume
215
Category
Article
ISSN
0377-2217

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Variable selection in large environmenta
โœ Jacquelynne R. King; Donald A. Jackson ๐Ÿ“‚ Article ๐Ÿ“… 1999 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 117 KB ๐Ÿ‘ 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