Time Series Forecasting: Box Jenkins ARIMA Model

dc.contributor.author	Ramani, K. V.
dc.date.accessioned	2010-08-09T03:41:23Z
dc.date.available	2010-08-09T03:41:23Z
dc.date.copyright	1994
dc.date.issued	2010-08-09T03:41:23Z
dc.identifier.uri	http://hdl.handle.net/11718/7110
dc.description.abstract	A time series is a sequence of values of some variable, or composite of variables, taken at successive time periods. Examples of time series are monthly demand for cement, yearly production of steel, etc. Time series analysis helps us to understand the nature of the past and present data in order to forecast the future. In this note, we explain the development of ARIMA model, suggested by Box and Jenkins in 1976, for forecasting.	en
dc.language.iso	en	en
dc.subject	Time Series	en
dc.title	Time Series Forecasting: Box Jenkins ARIMA Model	en
dc.type	Cases and Notes	en

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