نتایج جستجو برای: box jenkins time series
تعداد نتایج: 2196112 فیلتر نتایج به سال:
The purpose of this research is predicting the stock prices using the Particle Swarm Optimization Algorithm and Box-Jenkins method. In this way, the information of 165 corporations is collected from 2001 to 2016. Then, this research considers price to earnings per share and earnings per share as main variables. The relevant regression equation was created using two variables of earnings per sha...
Model identification is an important and complicated step within the autoregressive integrated moving average (ARIMA) methodology framework. This step is especially difficult for integrated series. In this article first investigate Box-Jenkins methodology and its faults in detecting model, and hence have discussed the problem of outliers in time series. By using this optimization method, we wil...
Background : Controlling occurrence of accidents in work place has been an interesting subject in all countries worldwide. Financial consequences of these accidents and their economic losses imposed on the involved companies is only one of the insignificant aspects of such damages and when the non-economic but intangible losses to the society are taken into consideration ,these economic damag...
In statistical field Box-Jenkins Time Series is a linear method widely used to forecasting. The linearity makes the method inadequate to forecast real time series, which could present irregular behavior. On the other hand, in artificial intelligent field FeedForward Artificial Neural Networks and Continuous Machine Learning Systems are robust handlers of data in the sense that they are able to ...
Introduction: Breast cancer is the most common cancer and the second leading cause of death in women worldwide. The aim of this study was to analyze the trend and predict the incidence of breast cancer using time series analysis. Methods: In this study, data on breast cancer incidence in Qazvin province between 2007 and 2016 were analyzed using time series analysis with autoregressive integrate...
We have studied neural networks as models for time series forecasting, and our research compares the Box-Jenkins method against the neural network method for long and short term memory series. Our work was inspired by previously published works that yielded inconsistent results about comparative performance. We have since experimented with 16 time series of di ering complexity using neural netw...
The group method of data handling technique (GMDH) and Box-Jenkins methods are two wellknown time series forecasting of mathematical modeling. In this paper, we introduce a hybrid modeling which combines the GMDH method with the Box-Jenkins method to model time series data. The Box-Jenkins method was used to determine the useful input variables of GMDH method and then the GMDH method which work...
journal of accounting advances (j.a.a) vol. 5, no. 1, 2013, ser. 64/3 extended abstract a study of characteristics of interim cash flow series and their proxies and the ability to predict them dr. m. a. aghaei v. ahmadian f. daviran tarbiat modares university introduction the predicting of annual and interim cash flows from operations is one of the mo...
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