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Where lavas have flowed over rough topography with varying slope, estimating mean thickness from point measurements is unlikely to be reliable.
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Figure 4b presents the mean and 95% confidence intervals of single log-transformed slope estimates obtained by all estimation procedures and all simulated psychophysical functions.
The resulting slope estimates parameter γ and the intercept estimates λ.
Coverage probability of the 90% CIs of the slope estimates for the true slope have also been calculated.
Linear regression slope estimates as well as plots of this linear association are shown for descriptive purposes.
Table 3 lists the slope estimates for individual chemicals and the dosing protocols, as well as the threshold estimates for both protocols.
According to the regression slope estimates in Table 8, the optimal percentage of residual polygenic variance seems to vary across traits.
The slope estimates for T2 were generally negative for both groups, but stronger for the diabetes group than for the control subjects.
Both the best LME model and biological model resulted in −3.87% – −7.15% bias of the slope estimates in the presence of 20% measurement error.
Second, listeners whose slope estimates on any of the FD or ID pre- or posttraining probes were less than 0.1 were excluded.
Three lines were overlaid on the points: i) an identity line representing Poisson assumptions, ii) a linearly increasing line with slope estimated from a regression of S 2 = k x ¯ (no intercept) representing OD Poisson assumptions, and iii) a quadratic function estimated from a regression of S 2 = x ¯ + ϕ x ¯ 2 representing NB assumptions (the slope estimate was ϕ ^ = 0.178 ).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com