Both AKM and AFK used statistical approximations to estimate the decomposition of wage differentials into individual and employer components.
We calculate the variance of our index using statistical approximation.
Gaussian process emulators of computationally expensive computer codes provide fast statistical approximations to model physical processes.
The method works by building a Bayesian statistical approximation to the computer code using a number of known code input/output pairs (training runs).
In order to address this issue, we build a statistical approximation to the code output and use it to perform sensitivity analysis.
A simplified approach to this problem is to use a statistical approximation of the simulation ensembles derived from the complex models at a fine scale which will help in reducing the computational burden.
Nonactive EPR subjects can be used in genotyping projects where follow-up is not important, for example, in simple assessments of SNP prevalence rates or in approximation of haplotypes using statistical methods (Stephens et al. 2001).
Samples taken after the burn-in phase can be used to compute statistical approximations, which will be used later.
By using the statistical approximation for the effective SNR, which we introduced in [21], we now derive an analytical, tractable approximation for the EGP, which we call the approximate EGP (AEGP).
We use approximations to solve hardware limitations.
