Supplementary notes on the minimax and orthogonal least squares line fitting procedures

Richard William Farebrother

Communications in Statistics - Theory and Methods, 2023, vol. 52, issue 10, 3350-3353

Abstract: The two-variable orthogonal least squares procedure was developed independently by Julius Ludwig Weisbach (1806–1871) and Robert Jackson Adcock (1826–1895). In this article we discuss aspects of two recent articles concerned with the contributions of these individuals. We also identify a prototype of the orthogonal minimax fitting procedure due to August Beyer (1677–1753).

Date: 2023
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1080/03610926.2021.1971247 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:taf:lstaxx:v:52:y:2023:i:10:p:3350-3353

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/lsta20

DOI: 10.1080/03610926.2021.1971247

Access Statistics for this article

Communications in Statistics - Theory and Methods is currently edited by Debbie Iscoe

More articles in Communications in Statistics - Theory and Methods from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().