Following Cohen's benchmarks, the effect sizes of all three FWPs are small to moderate (e.g. Cohen 1988).
By comparing the performance of ULIP to these two benchmarks, the effect ULIP has on the performance of the system can be quantified.
However, according to Cohen's benchmarks for effect sizes [ 44], the EQ-5D Index was not responsive to small changes in health.
Scores were interpreted using benchmarks for effect sizes: 0.20 through 0.49 was interpreted as small, 0.50 through 0.79 as moderate and ≥ 0.80 as large [ 44].
On average, by the age of 70, under this policy, low-educated workers spend about two fewer years in formal employment relative to the benchmark, an effect that is primarily explained by the right side of the distribution.
In an earlier study we benchmarked the effect of varying cost and γ when doing classification using the SVM and the RBF kernel with the result that a sweet spot is located around cost = 10 and γ = 0.01 [21].
The resulting coefficients portray an even steeper relation between technical change and early retirement than in the benchmark fixed-effects regression.
As benchmark analysis, effects of changing geometrical parameters, spinning speed, nonlocal parameter, and boundary conditions on natural frequencies and critical speeds of nanotube is studied which will be helpful for future investigations.
The correlation between the individual dummies and the rest of the covariates drops by 10 percentage points from the benchmark fixed-effects regression to the regression in column (2) and by one additional percentage point to the regression in column (3).
In the environment with improved infrastructure, the probability of being able to attain three benchmark treatment effects is estimated to be higher over a span of years, and the estimated burden of AD is estimated to be correspondingly lower.
