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A quasi‐statistical model for choosing between alternative configurations derived from ordinally constrained data
Author(s) -
Lingoes James C.,
Borg Ingwer
Publication year - 1983
Publication title -
british journal of mathematical and statistical psychology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.157
H-Index - 51
eISSN - 2044-8317
pISSN - 0007-1102
DOI - 10.1111/j.2044-8317.1983.tb00764.x
Subject(s) - context (archaeology) , computer science , metric (unit) , statistical model , econometrics , statistical analysis , operations research , mathematical economics , management science , mathematics , statistics , machine learning , economics , operations management , geography , archaeology
Present‐day users of MDS techniques are confronted with many choices and options, e.g. whether to use A's procedure or B's,…, whether to select m or m + 1 dimensions, whether to use a metric or ordinally based MDS, would a few more iterations make any difference, is configuration A equivalent to B, has an hypothesis been confirmed or not, …, etc.—in sum, what are the consequences of such choices and on what basis does one select? In this difficult research environment there is little (and sometimes conflicting) guidance. We shall suggest a possible strategy and an objective, quasi‐statistical decision model for such choices, since there are no statistical models completely free from criticism when used in the MDS context.