The forecasting index of (student/lecturer) for the education universities, by using the method of analyzing the time series models

Abstract

The subject of relying on forecasting models which depend on time series has become prominent recently especially with the easy using of those models , according to application package, The search harmonized many of these models and advanced methods for the gaining of accurate forecasting to an important and active indictor for the education in universities this is the average of harmonization , as it is important to know the development of the indictor to build its capacity in that field to emerge to in the quality and reliance also the research involves other indictors for education at universities like students admission accepting . Then comparison Was made between two various models, the method of index exponential smoothing and Box & Jenkins then select the best of them for forecasting to hose indictors , as Box & Jenkins models excelled relying on the comparison criteria (MSE)