Illustration of the difficulty in constraining the value of the random loss fraction using the Dornhorst-Lognormal-Senescent model.

Abstract

<p>(<b>A</b>) Theoretical population survival curves from the DLS model as the mean and standard deviation of natural life span are kept constant (<i>μ</i> = 100 hr, <i>σ</i> = 25 hr) while the random loss fraction, <i>f</i>, is varied. Small values of the random loss fraction produce subtle changes in the shape of the population survival curve. (<b>B</b>) Strong correlation between values of the random loss fraction (<i>f</i>) and the mean natural life span (<i>μ</i>) in the Monte Carlo simulation – r<sup>2</sup> is the square of Pearson's correlation coefficient; Slope is the gradient of the linear regression with 95% confidence intervals in brackets [,]. The correlation with other parameters of the model is much less – (<b>B</b>) random loss fraction (<i>f</i>) versus standard deviation natural life span (<i>σ</i>), and (<b>C</b>) random loss fraction (<i>f</i>) versus labeling efficiency (<i>e<sub>1</sub></i>).</p

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