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The F test for model discrimination with exponential functions
by
McGINLAY, P. B.
, WRIGHT, A. J.
, BARDSLEY, W. G.
in
Chemical kinetics
/ Computer simulation
/ Curve fitting
/ Data models
/ Drug design
/ Eigenvalues
/ Enzyme kinetics
/ Enzymes
/ Exact sciences and technology
/ Exponential function
/ Exponential functions
/ F test
/ Mathematical constants
/ Mathematics
/ Model discrimination
/ Multivariate analysis
/ Nonlinear regression
/ Parametric models
/ Pharmacokinetics
/ Probability and statistics
/ Sciences and techniques of general use
/ Statistics
1986
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The F test for model discrimination with exponential functions
by
McGINLAY, P. B.
, WRIGHT, A. J.
, BARDSLEY, W. G.
in
Chemical kinetics
/ Computer simulation
/ Curve fitting
/ Data models
/ Drug design
/ Eigenvalues
/ Enzyme kinetics
/ Enzymes
/ Exact sciences and technology
/ Exponential function
/ Exponential functions
/ F test
/ Mathematical constants
/ Mathematics
/ Model discrimination
/ Multivariate analysis
/ Nonlinear regression
/ Parametric models
/ Pharmacokinetics
/ Probability and statistics
/ Sciences and techniques of general use
/ Statistics
1986
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Do you wish to request the book?
The F test for model discrimination with exponential functions
by
McGINLAY, P. B.
, WRIGHT, A. J.
, BARDSLEY, W. G.
in
Chemical kinetics
/ Computer simulation
/ Curve fitting
/ Data models
/ Drug design
/ Eigenvalues
/ Enzyme kinetics
/ Enzymes
/ Exact sciences and technology
/ Exponential function
/ Exponential functions
/ F test
/ Mathematical constants
/ Mathematics
/ Model discrimination
/ Multivariate analysis
/ Nonlinear regression
/ Parametric models
/ Pharmacokinetics
/ Probability and statistics
/ Sciences and techniques of general use
/ Statistics
1986
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The F test for model discrimination with exponential functions
Journal Article
The F test for model discrimination with exponential functions
1986
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Overview
The performance of the F test in identifying the correct number of components in exponential functions is investigated by mathematical and computational techniques. Uncoupled systems can be most easily identified when the relaxation times are widely separated but the exponential functions encountered in pharrnacokinetics and biochemistry are linked in that the amplitudes and eigenvalues are not independent. In such systems correct model discrimination occurs as the relaxation times become closer together. The possibility of nonreal eigenvalues is emphasized and an enzyme kinetic model with this property is investigated.
Publisher
Oxford University Press,Biometrika Trust
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