en
research_article
2019-04-11T13:35
http://link.springer.com/10.1007/BF00991792
1986-09-01
Regression techniques are used frequently to analyze the relationships between university activity variables and the needs for different categories of resources. The ordinary least squares method (LS) has the disadvantage of being very sensitive to outliers. As an alternative the least median of squares (LMS) technique is discussed, which can resist a large fraction of contaminated data. To demonstrate the advantages of LMS, the parameters of some regression equations, estimated some years ago by means of ordinary least squares, and describing the needs for nonacademic staff and operating funds in a university, will be reestimated by means of this robust regression technique.
Applying robust regression techniques to institutional data
articles
https://scigraph.springernature.com/explorer/license/
1986-09
277-297
false
Siau
Carlos
Peter
Rousseeuw
dimensions_id
pub.1028969000
Delft University of Technology
Delft University of Technology, The Netherlands
Mathematical Sciences
Applied Mathematics
3
Franz
Bingen
0361-0365
1573-188X
Research in Higher Education
8a007828a984df46394193609ee5a25f63b78c35982c8a062eb29c3fc61422bc
readcube_id
Springer Nature - SN SciGraph project
doi
10.1007/bf00991792
Vrije Universtiteit Brussel, Belgium
Vrije Universiteit Brussel
Department of Mathematics, Vrije Universtiteit Brussel, Pleinlaan 2, 1050, Brussels, Belgium
25