Forecast Software

Nowadays forecasting variables in different fields, are interests of specialists in different sciences such as economics, meteorology, geology and etc, so further challenges of experts focused on this issue and we've also seen great progress in this filed. In this regard, the most important issue is to practice using the these forecasts in science. For this purpose We are witnessing the emergence of various software products. One of the major disadvantages of these applications is their specialty that requires high expertise using the mentioned applications. The forecasting software, is designed to overcome these problems. The software, in addition to having high predictive power, designed so simple that enables common people having ability to use this software. This software is developed based on two main approaches to predict multivariate and univariate so that prediction of univariate is based on ARIMA model that can be used directly and multivariate prediction is achieved based on the obtained values of univariate prediction.

Regardless of the scientific fields that the models belong to, they are made to improve our understanding of complex situations. In the principles of prediction, the models are also designed to explain the observed facts in scientific language and give us the ability to predict future phenomena that have not yet been realized. Sometimes models can be defined as a number of equations, so predictable systems can be forecast based on the closest defined equations.

The use of this software is very simple, and forecast results can easily be seen by entering data and performing automatic calculations, so each group of specialist and non-expert individuals can use it. However, in order to use existing software, people should have the necessary expertise in econometrics. In Sayman forecast software, the problems of using classical assumptions and the stability of the parameters are eliminated. This software is focused on forecasting and covers forecasting topics in a specialized manner.