search algorithm computes optimized step length for rapid convergence. This step is performed when consecutive search is … generation model from Fiji Islands and “L-T” letter recognition problems are solved. Bootstrap analysis shows that the algorithm …

1995 and 2005. For the first time, in the present paper a bootstrap approach for the decomposition of labour productivity … generation of convergence clubs in the evolution of labour productivity. Finally, the empirical evidence offers some basic …

to survive. We employ the Simar-Wilson (2007) two-step double bootstrap Data Envelopment Analysis method to measure … sample period. In addition we conduct tests for unconditional beta- and sigma-convergence and overall, the results suggest …

. We employ non-parametric bootstrap DEA to measure technical efficiency among Jamaican banks between 1998 and 2007. In … addition, we test for conditional convergence to identify pointing variables for technical efficiency. Overall, the results … strong evidence of conditional convergence, which means that each bank is converging to its own steady-state and that GDP …

investigating pairwise convergence of output for $n$ countries, $n(n-1)/2$ tests are performed. We propose to control the false … convergence of per capita output using a time series definition with the necessary condition of no unit root in the log per …

This article uses a sequentialized experimental design to select simulation input combinations for global optimization …/output data of the simulation model (computer code). This design and analysis adapt the classic “expected improvement” (EI) in …

’s (2003) and in some simulation examples we consider, we find that our test can be more powerful than the subsampling test of …

makers would benefit if they would be given probabilities as well as values, and the methodology of stochastic simulation … Romanian Market Economy Model. In our paper we present the advantages of applying stochastic simulation on macromodels of …