International Journal of Statistics and Applied Mathematics
  • Printed Journal
  • Indexed Journal
  • Refereed Journal
  • Peer Reviewed Journal

International Journal of Statistics and Applied Mathematics

2020, Vol. 5, Issue 6, Part B

Combined multiple forecasting model using regression


Author(s): P Hema Sekhar, Dr. Kesavulu Poola and Dr. M Bhupathi Naidu

Abstract: Accuracy in the forecasting techniques is most challenging in many areas of research. In order to encounter the inaccuracy of the forecast of a single model, weight combination forecasting models are increased accuracies in forecasting models. In the present paper, an attempt has been made by proposing some forecasting models with the estimation of their parameters besides the choice of weights in the combination of forecasts in the forecasting model. A method of multiple combining forecasts has been proposed by choosing optimum values for the weights for the forecasts and combined forecasting technique based on regression method has been developed.

Pages: 147-150 | Views: 118 | Downloads: 6

Download Full Article: Click Here
How to cite this article:
P Hema Sekhar, Dr. Kesavulu Poola, Dr. M Bhupathi Naidu. Combined multiple forecasting model using regression. Int J Stat Appl Math 2020;5(6):147-150.
Call for book chapter
International Journal of Statistics and Applied Mathematics