Visualizing multivariate analysis - An intuitive approach to high dimensional statistical extractions

Hdl Handle:
http://hdl.handle.net/10034/64836
Title:
Visualizing multivariate analysis - An intuitive approach to high dimensional statistical extractions
Authors:
Lewis, Stephen J.
Abstract:
The numerical output of multivariate statistical analyses may extend to a greater number of dimensions than can be comprehended and so may appear abstract and divorced from the original data. A need arises, therefore, for the provision of a more intuitive understanding of the results of such techniques - perhaps of a graphical nature. A simple method is to plot, what have come to be known as, Andrews' curves. A tabular procedure, using a standard computer spreadsheet, is described whereby the coefficients produced by various multivariate statistical techniques can be substituted into a simple equation to produce a smooth, wave-like curve characterising the source data. Importantly, this technique also provides a means whereby groups of curves may be compared visually to identify clusters and curves of similar or dissimilar overall shape. Similarly, "outliers" may also be spotted.
Affiliation:
Chester College of Higher Education
Citation:
In K. Boyle & S. Anderson (Eds.), Computing and statistics in osteoarchaeology (pp. 31-34). Oxford: Oxbow Books, 1997.
Publisher:
Oxbow Books (for The Osteoarchaeological Research Group)
Publication Date:
1997
URI:
http://hdl.handle.net/10034/64836
Additional Links:
http://www.oxbowbooks.com/home.cfm
Type:
Book chapter; Meetings and Proceedings
Language:
en
Description:
This is the author's PDF version of an book chapter published in Computing and statistics in osteoarchaeology ©1997. The paper was originally delivered at the second meeting of the Osteoarchaeological Research Group at the Institute of Archaeology, University College, London on 8 April 1995.
ISBN:
1900188465
Appears in Collections:
Biological Sciences

Full metadata record

DC FieldValue Language
dc.contributor.authorLewis, Stephen J.-
dc.date.accessioned2009-04-14T13:10:52Z-
dc.date.available2009-04-14T13:10:52Z-
dc.date.issued1997-
dc.identifier.citationIn K. Boyle & S. Anderson (Eds.), Computing and statistics in osteoarchaeology (pp. 31-34). Oxford: Oxbow Books, 1997.en
dc.identifier.isbn1900188465-
dc.identifier.urihttp://hdl.handle.net/10034/64836-
dc.descriptionThis is the author's PDF version of an book chapter published in Computing and statistics in osteoarchaeology ©1997. The paper was originally delivered at the second meeting of the Osteoarchaeological Research Group at the Institute of Archaeology, University College, London on 8 April 1995.en
dc.description.abstractThe numerical output of multivariate statistical analyses may extend to a greater number of dimensions than can be comprehended and so may appear abstract and divorced from the original data. A need arises, therefore, for the provision of a more intuitive understanding of the results of such techniques - perhaps of a graphical nature. A simple method is to plot, what have come to be known as, Andrews' curves. A tabular procedure, using a standard computer spreadsheet, is described whereby the coefficients produced by various multivariate statistical techniques can be substituted into a simple equation to produce a smooth, wave-like curve characterising the source data. Importantly, this technique also provides a means whereby groups of curves may be compared visually to identify clusters and curves of similar or dissimilar overall shape. Similarly, "outliers" may also be spotted.en
dc.language.isoenen
dc.publisherOxbow Books (for The Osteoarchaeological Research Group)en
dc.relation.urlhttp://www.oxbowbooks.com/home.cfmen
dc.subjectvisualizing multivariate analysisen
dc.titleVisualizing multivariate analysis - An intuitive approach to high dimensional statistical extractionsen
dc.typeBook chapteren
dc.typeMeetings and Proceedingsen
dc.contributor.departmentChester College of Higher Educationen
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