Statistical analysis of time series and investigation of seasonal fluctuations on beer production

In the presented paper time series modeling on the basis of collected data is used to study the past observations of a time series. On the basis of findings, an appropriate model is developed which describes the inherent structure of the time series. Afterwards, this model is used to generate future volumes for the production to make forecasts. A few of the many applications of statistics for analysis of the time series of production of "Yerevan Beer" CJSC are presented in the context of beer production. Based on the obtained results, the optimized function of the program for the production is proposed, considering the seasonal demand for beer production. It will make possible to predict the further developments of production and enhance the accuracy of the forecasted results for the beer market.