Multivariate statistical methods in hydrology - a comparison using data of known functional relationship
Journal Article
·
· Water Resour. Res.; (United States)
Conventionally, hydrologists have used regression analysis for solving their multivariate problems. Recently other multivariate statistical methods have been advocated. This paper discusses and compares the effectiveness of 6 methods of analysis: regression, principal component, varimax, oblimax, key cluster, and object. Strengths and weaknesses of each method are discussed, and the combination of principal component regression with varimax rotation of the factor weight matrix is recommended for an initial analysis of multifactor hydrologic problems. (31 refs.)
- Research Organization:
- Univ. of California, Berkeley
- OSTI ID:
- 5917761
- Journal Information:
- Water Resour. Res.; (United States), Vol. 1:4
- Country of Publication:
- United States
- Language:
- English
Similar Records
Indoor air quality: multivariate analyses of the relationship between indoor and outdoor aerosols
Multivariate analysis of progressive thermal desorption coupled gas chromatography-mass spectrometry.
HORIZONTAL BRANCH MORPHOLOGY OF GLOBULAR CLUSTERS: A MULTIVARIATE STATISTICAL ANALYSIS
Thesis/Dissertation
·
Wed Jan 01 00:00:00 EST 1986
·
OSTI ID:5917761
Multivariate analysis of progressive thermal desorption coupled gas chromatography-mass spectrometry.
Technical Report
·
Wed Sep 01 00:00:00 EDT 2010
·
OSTI ID:5917761
HORIZONTAL BRANCH MORPHOLOGY OF GLOBULAR CLUSTERS: A MULTIVARIATE STATISTICAL ANALYSIS
Journal Article
·
Sat Aug 01 00:00:00 EDT 2009
· Astrophysical Journal
·
OSTI ID:5917761
+1 more