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Tutorial – applying extreme value theory to characterize food‐processing systems
Author(s) -
Skou Peter B.,
Holroyd Stephen E.,
Berg Frans
Publication year - 2017
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.2896
Subject(s) - extreme value theory , computer science , process (computing) , extreme point , point process , maxima , scale (ratio) , industrial engineering , mathematics , engineering , statistics , physics , combinatorics , quantum mechanics , performance art , art history , operating system , art
This tutorial presents extreme value theory (EVT) as an analytical tool in process characterization and shows its potential to describe production performance, eg, across different factories, via reliable estimates of the frequency and scale of extreme events. Two alternative EVT methods are discussed: point over threshold and block maxima. We illustrate the theoretical framework for EVT by process data from two different examples from the food‐processing industry. Finally, we discuss limitations, decisions, and possibilities when applying EVT for process data.