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On the type II error in SIMCA method
Author(s) -
Pomerantsev Alexey L.,
Rodionova Oxana Ye.
Publication year - 2014
Publication title -
journal of chemometrics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.47
H-Index - 92
eISSN - 1099-128X
pISSN - 0886-9383
DOI - 10.1002/cem.2610
Subject(s) - type i and type ii errors , type (biology) , computer science , class (philosophy) , quality (philosophy) , analogy , pattern recognition (psychology) , mathematics , artificial intelligence , statistics , data mining , algorithm , physics , ecology , quantum mechanics , biology , linguistics , philosophy
A novel method for theoretical calculation of the type II ( β ) error in soft independent modeling by class analogy is proposed. It can be used to compare tentatively predicted and empirically observed results of classification. Such an approach can better characterize model quality and thus improve its validation. Method efficiency is demonstrated on the famous Fisher Iris dataset and on a real‐world example of quality control of packed raw materials in pharmaceutical industry. Copyright © 2014 John Wiley & Sons, Ltd.