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stat.ME2026
Unmixing highly mixed grain size distribution data via maximum volume constrained end member analysis
Qianqian Qi, Zhongming Chen, Peter G. M. van der Heijden
End member analysis (EMA) unmixes grain size distribution (GSD) data into a mixture of end members (EMs), thus helping understand sediment provenance and depositional regimes and p…
stat.ME2024
Correspondence analysis: handling cell-wise outliers via the reconstitution algorithm
Qianqian Qi, David J. Hessen, Aike N. Vonk +1
Correspondence analysis (CA) is a popular technique to visualize the relationship between two categorical variables. CA uses the data from a two-way contingency table and is affect…