All types of end users who must make weatherdependent decisions stand to benefit greatly from knowing the expected accuracy of a particular forecast a priori. Forecast accuracy varies both spatially and temporally as a result of initial state and model errors, which change as the atmospheric flow evolves. Probabilistic weather forecasts derived from numerical weather prediction (NWP) ensembles ...

Financial failure prediction models have been developed by using Logistic Regression (LR) analysis from traditional statistical methods and Data Envelopment Analysis (DEA), which is a mathematically based nonparametric method over the financial reports of the companies traded in The Istanbul Stock Exchange National 100 Index (BIST 100) between the years 2014-2016. In the development of these mo...