Heteroscedastic Nonlinear Regression Models with Random Effects and Their Application to Enzyme Kinetic Data

DOI<link itemprop=identifier href="https://doi.org/10.1002/(SICI)1521-4036(199909)41:5<543::AID-BIMJ543>3.0.CO;2-7" /><543::AID-BIMJ543>3.0.CO;2-7 10.1002/(SICI)1521-4036(199909)41:5<543::AID-BIMJ543>3.0.CO;2-7zbMath1069.62533OpenAlexW2050502073MaRDI QIDQ4700217

Frank Gilberg, Lutz Edler, Wolfgang Urfer

Publication date: 1999

Full work available at URL: https://doi.org/10.1002/(sici)1521-4036(199909)41:5<543::aid-bimj543>3.0.co;2-7

zbMATH Keywords

Nonlinear regressionRandom effectsEnzyme kineticsRepeated measures dataPseudo likelihood estimationRestricted maximum likelihood estimationTransformation and weighting

Mathematics Subject Classification ID

General nonlinear regression (62J02) Kinetics in biochemical problems (pharmacokinetics, enzyme kinetics, etc.) (92C45)

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