CELLULAR MOBILE SUBSCRIBERS TREND IN PAKISTAN
Forecasting about rapid growing technologies and user behavior is often a challengeable, but possible by carefully implementation of time series models. Prediction about cellular mobile subscribers is an emerging in the adoption of precise business planning and operation. The general aim of this study is to uncover the trend and capture the future situation by the development of forecasting model, for cellular mobile subscribers by incorporating the stochastic modeling. ARIMA (1, 1, 1) is considered as an efficient model by using a model selection criterion and accuracy measures namely Akaike information criteria (AIC), Hannan-Quinn (HQ) and Schwarz information criteria (SIC) and root mean square error. ARIMA (1, 1, 1) model revealed that the expected percent increment annually is 8.62%.
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