IJCRRI Journ Cur Res ReInternational Journal of Current Research and ReviewI Journ Cur Res Re2231-21960975-5241Radiance Research Academy240310.7324/IJCRR.2017.9244General SciencesForecasting of Monthly Mean Rainfall in Rayalaseema ReddyJ. C. RameshGaneshT.VenkateswaranM.ReddyPRS26122017)2027This article is copyright of Popeye Publishing, 20092009This is an open-access article distributed under the terms of the Creative Commons Attribution (CC BY 4.0) Licence. You may share and adapt the material, but must give appropriate credit to the source, provide a link to the licence, and indicate if changes were made.

Seasonal Autoregressive Integrated Moving Average (SARIMA) model in analyzing the forecast of monthly mean rainfall in Rayalaseema (India) using R is discussed. We have checked the different ARIMA models according to the structure of the data, finally we found that the ARIMA (5,0,1)(2,0,0)[12] has been fitted to the data and the significance test has been made by using lowest AIC and BIC values.

Box-Jenkins Methodology SARIMA model