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The normal and extreme minimum models are excellent.

1) Parameters estimated using the minimum model were closest to parameters estimated from single limitation batch tests.

After 20 iterations, the ABIC (Akaike's Bayesian Information Criterion) minimum model was adopted as the most plausible model (Fig. 7(b); denoted the model the optimum model hereafter), with a root mean square misfit of 0.74.

However according to Table 6 the values measured for the maximum and minimum star models are more dispersed while the minimum star model seems to be smaller than minimum star model for non-river-cities, maximum star model is the biggest among all (the measured values for all the properties are equal to 3) and forms the climax of the models.

Our results indicate that the original (log-transformed) versions of the central and minimum age models are still preferable for most routine dating applications, since these age models are better suited to the statistical properties of typical single-grain and multi-grain single-aliquot De datasets.

Sensitivity tests reveal that the un-logged versions of the central and minimum age models are capable of producing accurate burial dose estimates for modern-age and very young (<350 yr) fluvial samples that contain (i) more than 20% of well-bleached grains in their De distributions, or (ii) smaller sub-populations of well-bleached grains for which the De values are known with high precision.

Several comparisons with the (expensive) state-of-the-art minimum-entropy models are made, showing the similarity in approximation quality of the two classes.

From the results summarized in Table 4, we can deduce that the corrected QT interval values, corrected by linear (both α minimum and α 0.2) and parabolic (α minimum) regression models, were statistically shorter while awake in comparison with NREM sleep stage (P < 0.05).

The r2 values of the minimum adequate models were used to describe the amount of variation in individual contributions to population growth explained by individual traits in each demographic class [13].

The minimum adjusted models were adjusted for age (as the timescale in the model) and sex.

Minimum adequate models were constructed by sequentially removing non-significant interaction terms.