Beef and cattle milk production play a significant role in reducing hunger, malnutrition, rural poverty, improving livelihoods, creating employment opportunities, supporting the overall development of Uganda's economy. This study was conducted to find suitable ARIMA model for forecasting Uganda’s beef using annual time series data from 1961 2020, extracted Food Agriculture Organization Corporat...

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...

This paper deals with design of a model for short-term heat demand forecasting. Forecast of this heat demand course is significant for short-term planning of heat production and it is most important for technical and economic consideration. In this paper we propose the forecast model of heat demand based on the assumption that the course of heat demand can be described sufficiently well as a fu...

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...

General aspects of modeling as an engineering tool are presented in this work. The usefulness of Takagi-Sugeno Fuzzy Inference Systems (TS FIS) as modeling technique are emphasized. Additionally, various modifications of known methodology for identifying such a models and rules configuration are proposed. Finally, two application examples are presented. The first one is a modeling of the Box an...

We discuss the classic auto regressive statistical models Box and Jenkins used in prediction problems, and their application is analyzed in the energy sector. Subsequently, we propose a methodology based on the application of these models for the prediction of electric power generation, from data obtained at a wind farm in Ventosa, Oaxaca. Finally, the model and the preliminary results obtained...

The paper is devoted to the presentation of methods of economic time series analysis and modelling using the Box-Jenkins methodology, the signal processing approach and the feedforward conventional/fuzzy neural network technique. Some results on our research on time series modelling with emphasis on potential improving forecast accuracy are presented here. The assessment of the particular model...