الفهرس 
Title: A comparative study of estimation methods for time series models
Table of ContentsOnly 14 pages are availabe for public view
 |  | from | 117 |  |  |
| | | from | 117 | | |
Abstract
Thesis Aims This research aim is to estimate the AR(2) model with and without the constant, besides estimating the Vector Moving Average model (VMA) using the Vector Autoregressive (VAR). On the other hand the research aimed to forecast three of the main transit variables of Suez Canal (the number of vessels, the Suez Canal net ton SCNT, the Suez Canal revenues) due to the vital importance of Suez Canal as one the main source of hard currency which enhance the Egyptian national economy. The Statistical Analysis Tool On the way to forecast those main three transit variables of Suez Canal, the time series analysis had been implied to build a separate appropriate time series model to forecast every variable depending on the historical data of each variable. Forecasting Mechanism Depending on the official monthly data of Suez Canal transit variables collected from year 2012 to year 2015 (48 observation), a separate time series model was built to forecast the last two time series points 47th and 48th , and then the most appropriate model would be obvious which made the difference between the actual point and the forecasted ones (error) the minimum