Average (SARIMA) models proposed by Box, Jenkins, and Reinsel (1994). CUSUM, Quandt likelihood ratio (QLR) and Chow test have …

Pound (GBP) for a period of 11 years, aiming at forecasting their short-term course by applying local approximation methods …

The method of forecasting seasonal demand applying genetic algorithm is presented. Specific form of used demand … genetic algorithms is discussed. In the final section an example of applying proposed method to forecast real demand process …

(SARIMA) used to simulate monthly rainfall in Gadaref station, Sudan. For the analysis, monthly rainfall data for the years … seasonal differencing prior to the development of the SARIMA model. Interestingly, the SARIMA (0,0,5)x(1,0,1)12 model developed … appropriate to forecast the monthly rainfall to assist decision makers establish priorities for water demand, storage and …

terms of their retail and services offer. The analysis was based on data on business entities of selected branches located … in Warsaw downtown. The analyzed period was a time of dynamic transformation of Warsaw retail landscape, mostly related …

small retail units with low turnover, retail chains were considerably developed. The domestic market began to be penetrated … by the first European retail chains in the mid-nineties of the last century. That was the spark of the change, to which … many of the players in the retail sector were not able to adapt. During this period one can notice, on the one hand, a …

based on the notion that it will open floodgates for foreign retailers to invest and will change the retail landscape … macroeconomic factors that are expected to affect FDI in retail in India. Using the experiences of four other emerging economies …- China, Indonesia, Brazil and Thailand, this research paper examines the relationship between FDI in retail and seven …