Insolvenzprognose auf Basis der logistischen Regression übernommen. Es mussten dennoch auch einige ukrainische Spezifika berücksichtigt … Variablen in multivariater Regression und bietet viele theoretische Vorteile im Vergleich zu traditionellen statistischen …

), where the regression function m(x) is given by m(x) = E(Yi|Xi = x) with one independent variable. In a nonparametric setting … the form of the true density, f(x) of X. We describe an estimation procedure of non-parametric regression model at a given …-Watson and local linear kernel estimators of nonparametric regression with data-driven bandwidths. The sample size was optimized …

. Moreover, the ADE concept can be incorporated easily in any SD modeling language. The optimization algorithm combines the … optimization to quickly find the optimal point within those regions. The local search uses a Powell hill-climbing (PHC) algorithm … as an improved procedure to the solution obtained from the PSO algorithm, which assures a fast convergence of the ADE …

focus on the case of symmetry information between the owner and the partners. A Particle Swarm Optimization (PSO) algorithm … is then designed to solve the resulting optimization problem. The result shows that the proposed algorithm is effective …

focus on the case of symmetry information between the owner and the partners. A Particle Swarm Optimization (PSO) algorithm … is then designed to solve the resulting optimization problem. The result shows that the proposed algorithm is effective …

program. The linear trend projection method, based on the regression analysis technique was used. Real values were determined …

tested in different scenarios. For this purpose anadequate gate allocation algorithm has been developed and implemented in a …