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In: <i>Mathematics</i> Bd. 9, MDPI AG (2021), Nr. 19"},"author":[{"first_name":"Tim","id":"220691","full_name":"Voigt, Tim","last_name":"Voigt"},{"first_name":"Martin","id":"226669","last_name":"Kohlhase","orcid":"0009-0002-9374-0720","full_name":"Kohlhase, Martin"},{"first_name":"Oliver","full_name":"Nelles, Oliver","last_name":"Nelles"}],"date_updated":"2026-03-17T15:28:49Z","publisher":"MDPI AG","doi":"10.3390/math9192479","intvolume":"         9","language":[{"iso":"eng"}],"_id":"3717","year":"2021","article_number":"2479","volume":9,"date_created":"2023-11-14T10:52:17Z","title":"Incremental DoE and Modeling Methodology with Gaussian Process Regression: An Industrially Applicable Approach to Incorporate Expert Knowledge","alternative_id":["1477"],"main_file_link":[{"open_access":"1","url":"https://www.mdpi.com/2227-7390/9/19/2479"}],"user_id":"220548","tmp":{"short":"CC BY (4.0)","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","image":"/images/cc_by.png"},"oa":"1","type":"journal_article","publication_identifier":{"eissn":["2227-7390"]},"keyword":["Gaussian process regression","design of experiments","static process models","industrial processes","stepwise experimental design"],"publication_status":"published","issue":"19","publication":"Mathematics"}]