The unemployment can be considered as one of the main economic problems. The aim of this article is to examine the differences in male and female unemployment rates in selected European countries and to predict their future trends by using different statistical forecasting models. Furthermore, the impact of adding a new data point on the selection of the most appropriate statistical forecasting...

Determining the class quota at each period of filling out KRS (Study Plan Card) beginning semester is often an activity that cannot be determined easily. This due to several important factors in it, one most influential and difficult things uncertainty when determining for number students who will take course question, if later there error predicting course, then prepared certainly less so it l...

Following Green, Armstrong and Soon’s (IJF 2009) (GAS) naïve extrapolation, Fildes and Kourentzes (IJF 2011) (F&K) found that each of six more-sophisticated, but inexpensive, extrapolation models provided forecasts of global mean temperature for the 20 years to 2007 that were more accurate than the “business as usual” projections provided by the complex and expensive “General Circulation Models...

The technologies developed by Apple have led the technological innovations in the world. So many studies on the technology analysis of Apple were performed in diverse fields of academic and business. In addition, the research results of Apple technology analysis using the quantitative methods such as statistics and machine learning algorithms were performed. They were the objective approaches t...

In this paper we propose a new set of multivariate stochastic models that capture time varying seasonality within the vector innovations structural time series (VISTS) framework. These models encapsulate exponential smoothing methods in a multivariate setting. The models considered are the local level, local trend and damped trend VISTS models with an additive multivariate seasonal component. W...