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Biadditive Mixed Models - Advancing Computational Methods and Applications

• Authors : Jensen, Sofie Pødenphant

• Source: Jensen , S P 2019 , Biadditive Mixed Models - Advancing Computational Methods and Applications . DTU Compute PHD-2018 , vol. 487 ,

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Individual differences in replicated multi-product experiments with Thurstonian mixed models for binary paired comparison data

• Authors : Linander, Christine Borgen; Christensen, Rune Haubo Bojesen; Cleaver, Graham

Subjects: Thurstonian modelling; Binary paired comparison; Assessor information

• Source: Linander , C B , Christensen , R H B , Cleaver , G & Brockhoff , P B 2019 , ' Individual differences in replicated multi-product experiments with Thurstonian mixed

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Linear mixed models in sensometrics

• Authors : Kuznetsova, Alexandra

• Source: Kuznetsova , A 2015 , Linear mixed models in sensometrics . DTU Compute PHD-2015 , no. 374 , Technical University of Denmark , Kgs. Lyngby

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Markov and mixed models with applications

• Authors : Mortensen, Stig Bousgaard

Subjects: /dk/atira/pure/sustainabledevelopmentgoals/good_health_and_well_being; SDG 3 - Good Health and Well-being

• Source: Mortensen , S B 2010 , Markov and mixed models with applications . IMM-PHD-2009-220 , Technical University of Denmark , Kgs. Lyngby,

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Visualizing multifactorial and multi-attribute effect sizes in linear mixed models with a view towards sensometrics

• Authors : Brockhoff, Per B.; Amorim, Isabel de Sousa; Kuznetsova, Alexandra

• Source: Brockhoff , P B , Amorim , I D S , Kuznetsova , A , Bech , S & Lima , R R D , Visualizing multifactorial and multi-attribute effect sizes in linear mixed

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