Seasonal Time Series and Transfer Function Modelling for Natural Rubber Forecasting in India
 | International Journal of Computer Trends and Technology (IJCTT) |  |
| © - May Issue 2013 by IJCTT Journal | ||
| Volume-4 Issue-5 | ||
| Year of Publication : 2013 | ||
| Authors :P. Arumugam, V. Anithakumari |
P. Arumugam, V. Anithakumari"Seasonal Time Series and Transfer Function Modelling for Natural Rubber Forecasting in India"International Journal of Computer Trends and Technology (IJCTT),V4(5):1366-1370 May Issue 2013 .ISSN 2231-2803.www.ijcttjournal.org. Published by Seventh Sense Research Group.
Abstract: - Time series analysis is a powerful tool to determine dynamic models aiming at defining and controlling most appropriate variables of a system. Transfer function model is one of the popular techniques in the time series modelling for forecasting. When there is an output series which is inclined by an input series, the objective of the transfer function modelling is to identify the role of input series in determining the variable of interest. In this paper, the Transfer Function model is fitted to the Natural Rubber production in India. The Transfer function Model has been used to identify a model and estimate parameters for forecasting of rubber production.
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Keywords — Time series, Transfer function, Autoregressive Integrated Moving Average Model, Cross correlation Function.