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The Roy Bose simultaneous confidence interval approach to multivariate multitemporal pairwise comparisons within and between objects
Author(s)
Date Issued
2007-09
Date Available
2013-01-14T16:44:24Z
Abstract
MANOVA and Roy-Bose simultaneous confidence intervals when combined with distribution matrices of ordered differences and ordered difference component vectors define the he Roy Bose simultaneous confidence interval approach to multivariate multitemporal pairwise comparisons within and between objects. While the objects used in this experiment were species of trees, the methodology may be equally applicable to any class of objects which exhibit multitemporal and multivariate changes in p-dimensional response profiles or vectors with time. The methodology is most easily applied to balanced data.
Type of Material
Conference Publication
Publisher
National Centre for Geocomputation
Copyright (Published Version)
2007 GeoComputation
Language
English
Status of Item
Peer reviewed
Journal
Urška Demšar (ed.) Geocomputation 2007 Proceedings of the 9th International Conference on Geocomputation
Conference Details
Geocomputation 2007, NUI Maynooth, Ireland, 3rd to 5th September 2007
This item is made available under a Creative Commons License
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Name
Mac_Siurtain_2007_1_8.pdf
Size
282.12 KB
Format
Adobe PDF
Checksum (MD5)
3914041e48b90e0b71a21a2050e7905e
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