Evaluation of Statistical Models of Non-oil Exports in the Lorestan Province and Production of Line Process for Future Years 2013 and 2014 and 2015

Statistical modeling is the key issue in the analysis of scientific data. The models are used to provide a random structure, predict of future behavior, Review of important information from the data. In this paper, we discuss the statistical models, Methods, such as parameter estimation, model selection, arrangement and method of sequential Bayesian model. It is also discussed about the research of Econometrics on the explicit model; however, the analyst should be considered a fundamental truth about the statistical models, all statistical models are incorrectly specified, We live in the best world of incomplete information; However, somehow we must face With the problem of a false assertion. Hence we need development the feeling of quality data, descriptions and predictions from the model. Thus, statistical models are reliable despite incomplete. Many investigators in the field of economic development have come to believe that the increase in exports is the country's economic growth by drawing the suitable model can predict the future of the economy. In the case of non-oil exports in the Lorestan province according to the multi-year performance will have forecast for the next few years also estimate the distance to non-oil exports will determine the specific error. Finally, the organization of this project is described.