[21] Regression analysis, experimental error, and statistical criteria in the design and analysis of experiments for discrimination between rival kinetic models
- 1 January 1982
- book chapter
- Published by Elsevier in Methods in Enzymology
- Vol. 87, 370-390
- https://doi.org/10.1016/s0076-6879(82)87023-7
Abstract
No abstract availableThis publication has 16 references indexed in Scilit:
- Deviations from Michaelis–Menten kinetics. Computation of the probabilities of obtaining complex curves from simple kinetic schemesBiochemical Journal, 1980
- Experimental designs for estimating the kinetic parameters for enzyme-catalysed reactionsJournal of Theoretical Biology, 1979
- Fitting Nonlinear Models to DataAnnual Review of Biophysics and Bioengineering, 1979
- Nonlinear regression methods in design of experiments and mathematical modelling. Applications to the analysis of the steady-state kinetics of glutathione reductaseBiosystems, 1975
- Discrimination between steady-state kinetic models of the mechanism of action of yeast glyoxalaseBiochemistry, 1973
- A procedure based on statistical criteria for discrimination between steady state kinetic modelsFEBS Letters, 1972
- Computer Programmes for Processing Enzyme Kinetic DataNature, 1963
- Statistical estimations in enzyme kineticsBiochemical Journal, 1961
- Tables for Testing Randomness of Grouping in a Sequence of AlternativesThe Annals of Mathematical Statistics, 1943
- A Note on the Kinetics of Enzyme ActionBiochemical Journal, 1925