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. 2014 Oct 2;10(10):e1003846. doi: 10.1371/journal.pcbi.1003846

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© 2014 Statman et al

This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.

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An estimate of the parameter can be obtained from k-times iterated mappings of the data as explained in text. These mappings are shown for 1, 8, 24 and 48 time-steps, corresponding to 0.5, 4, 12 and 24 hours respectively (A–D); from each such mapping the slope of the linear regression (solid black line) is extracted. (E) The logarithmic values of these slopes (circles) plotted as a function of iteration number and fit by linear regression (solid black line) to obtain an estimate of . (F) The measured slopes (circles) with the predicted slope values (red line) over an extended time scale.

Inline graphic — An estimate of the parameter can be obtained from k-times iterated mappings of the data as explained in text. These mappings are shown for 1, 8, 24 and 48 time-steps, corresponding to 0.5, 4, 12 and 24 hours respectively (A–D); from each such mapping the slope of the linear regression (solid black line) is extracted. (E) The logarithmic values of these slopes (circles) plotted as a function of iteration number and fit by linear regression (solid black line) to obtain an estimate of . (F) The measured slopes (circles) with the predicted slope values (red line) over an extended time scale.