Open AccessMULTIPLE CUTTING SCORES AND ERRORS OF MEASUREMENT *
Author(s) -
Lord Frederic M.
Publication year - 1961
Publication title -
ets research bulletin series
Language(s) - English
Resource type - Journals
eISSN - 2333-8504
pISSN - 0424-6144
DOI - 10.1002/j.2333-8504.1961.tb00102.x
Subject(s) - selection (genetic algorithm) , computer science , statistics , mathematics , observational error , algorithm , artificial intelligence , machine learning
Arguments for using multiple cutting scores are theoretically inapplicable when the selection measures are fallible. The effect of errors of measurement in altering the shape of some optimum selection regions is here investigated mathematically, with numerical illustrations.