# Heymann et al. (2022): Advanced score system and automated search strategies for parameter estimation in mechanistic chromatography modeling

**URL:** <https://forum.cadet-web.de/t/heymann-et-al-2022-advanced-score-system-and-automated-search-strategies-for-parameter-estimation-in-mechanistic-chromatography-modeling/421>\
**Category:** CADET Literature Base\
**Created:** [November 25, 2021, 7:52am UTC](https://forum.cadet-web.de/t/heymann-et-al-2022-advanced-score-system-and-automated-search-strategies-for-parameter-estimation-in-mechanistic-chromatography-modeling/421 "2021-11-25T07:52:50Z")\
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**Author:** ![lieres](https://forum.cadet-web.de/user_avatar/forum.cadet-web.de/lieres/32/1238_2.png) [@lieres](https://forum.cadet-web.de/u/lieres)\
**Post date:** [November 25, 2021, 7:52am UTC](https://forum.cadet-web.de/t/heymann-et-al-2022-advanced-score-system-and-automated-search-strategies-for-parameter-estimation-in-mechanistic-chromatography-modeling/421/1 "2021-11-25T07:52:50Z")

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Heymann, W.; Glaser, J.; Schlegel, F.; Johnson, W.; Rolandi, P.; von Lieres, E.: [Advanced score system and automated search strategies for parameter estimation in mechanistic chromatography modeling](https://doi.org/10.1016/j.chroma.2021.462693), Journal of Chromatography A **1661** (2022): 462693.

Alternatives to least squares estimation for determining model parameters from industrial chromatogram data with typical systematic noise.