Forecasting Through Time Series Analysis: Tea Production in India (revised)

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Please use this identifier to cite or link to this item: http://hdl.handle.net/11718/8526

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DC Field	Value	Language
dc.contributor.author	Gupta, G. S.
dc.date.accessioned	2010-09-07T10:37:21Z
dc.date.available	2010-09-07T10:37:21Z
dc.date.copyright	2008
dc.date.issued	2010-09-07T10:37:21Z
dc.identifier.uri	http://hdl.handle.net/11718/8526
dc.description.abstract	The note discusses the various components of the time series and the factors causing them. Using the monthly data on tea production for the period January 1981 through December 1990 and the multiplicative model for the time series, it decomposes series and the model are then applied to derive forecasts for tea production for the next three months.The note should be of use for explaining the decomposition of a time series and the method of forecasting through time series analysis.	en
dc.language.iso	en	en
dc.subject	Forecasting	en
dc.subject	Tea Production	en
dc.title	Forecasting Through Time Series Analysis: Tea Production in India (revised)	en
dc.type	Cases and Notes	en
Appears in Collections:	Cases and Notes

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