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(In both cases the estimates in question are "bottom-up" numbers constructed from company-by-company forecasts, not the "top-down" numbers constructed from macroeconomics).
The results are available upon request, and in both cases, the estimates are remarkably similar to those we derive excluding the "don't know" observations.
However, in both cases, the estimates identify the effect of being awarded benefits on employment, which is conditional on having applied for benefits.
However, in both cases the estimates of ω for this branch were <1 and even lower than the estimate of ω across all other branches.
In both cases, the estimates for the effect on the numbers killed or seriously injured were slightly greater than for casualties overall.
In both cases the estimates are "historical", i.e. encompassing many generations, although IMa estimates N e from the ancestral population prior to divergence and N e of the separate populations after divergence, the latter thereby giving more weight to the recent past (in the present case the centuries since establishment of dams).
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In both cases the estimated in situ stress is highly inclined and predicts observed data with good accuracy.
In both cases, the estimate d ^ can be found in closed form, and the dependence of d ^ on y is given as d ^ Lasso = 0, if y < λ sign ( y ) y - λ, otherwise (30) d ^ Schwarz = 0, if y < 2 λ y, otherwise.
In both cases the estimated treatment effect at 12 months decreased to about zero (−0.06 and 0.007, respectively).
Models glm.nb3* and gam2* showed similar results: in both cases the estimate of the variable year was not significant (p > 0.05).
The curves for both SSE and ISTH MB appear in Figure 3. 37 In both cases, the estimate for the HR and 95% CI were favorable for apixaban, with stability across a wide range of TTRs up to about 80% TTR.
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