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 …

-sided coverage errors of orders O(n−1/2) and o(n−2/3), respectively, for intervals based on the sample quantile of a random sample of …

quantile regression. Those tests focus specifically on one tail of the outcome distributions. The ES test applies to two … Conditional Autoregressive Value at Risk (CAViaR) models proposed by Engle and Manganelli (2004) based on quantile regression …The statistical inference based on the ordinary least squares regression is sub-optimal when the distributions are …

currently ship in single trailer truckload quantities. Annual lane volume, lane distance, and annual lane ton-mileage appeared …