Article

Tutorial – applying extreme value theory to characterize food‐processing systems

Journal of Chemometrics, Wiley, ISSN 0886-9383

Volume 31, 7, 2017

DOI:10.1002/cem.2896, Dimensions: pub.1085399048,

Affiliations

Organisations

  1. (1) University of Copenhagen, grid.5254.6, KU
  2. (2) Fonterra Research and Development Centre Palmerston North New Zealand

Countries

Denmark

Continents

Europe

Description

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.

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NORA University Profiles

University of Copenhagen

Danish Open Access Indicator

2017: Unused

Research area: Science & Technology

Danish Bibliometrics Indicator

2017: Level 2

Research area: Science & Technology

Dimensions Citation Indicators

Times Cited: 2

Field Citation Ratio (FCR): 0.51