Premium
The Resolution of a Compositional Data Set into Mixtures of Fixed Source Compositions
Author(s) -
Renner Ross M.
Publication year - 1993
Publication title -
journal of the royal statistical society: series c (applied statistics)
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.205
H-Index - 72
eISSN - 1467-9876
pISSN - 0035-9254
DOI - 10.2307/2986179
Subject(s) - data set , resolution (logic) , set (abstract data type) , mathematics , statistics , computer science , programming language
SUMMARY If a compositional data set is a realization of a physical mixing process, then within tolerable errors its observation vectors should be convex combinations of a fixed set of extreme source compositions called end‐members. Given a compositional data set x (n × p) consisting of the measurements on p variables for each of n specimens, but without any prior knowledge on the formation of X, this paper illustrates a solution to the problem of estimating the number and composition of such end‐members. These estimated compositions, in turn, form an algebraical basis for a mixing process which should account for each of the n observation vectors of X.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom