Abstract
The traditional chi-square test for goodness of fit in nonlinear least squares fitting procedures has been critically examined and its deficiencies noted. A number of alternative tests have been considered and evaluated using synthetic data. A procedure for making more reliable decisions about model acceptability is proposed.
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© 1983 Springer Science+Business Media New York
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Catterall, R., Duddell, D.A. (1983). Beyond Chi-Square: Evaluation of Parametric Models Used in the Analysis of Data from Fluorescence Decay Experiments. In: Cundall, R.B., Dale, R.E. (eds) Time-Resolved Fluorescence Spectroscopy in Biochemistry and Biology. NATO Advanced Science Institutes Series, vol 69. Springer, Boston, MA. https://doi.org/10.1007/978-1-4757-1634-4_11
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DOI: https://doi.org/10.1007/978-1-4757-1634-4_11
Publisher Name: Springer, Boston, MA
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