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http://hdl.handle.net/11718/7110Full metadata record
| DC Field | Value | Language |
|---|---|---|
| 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 |
| Appears in Collections: | Cases and Notes | |
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