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dc.contributor.authorGupta, G. S.
dc.date.accessioned2010-09-07T10:37:21Z
dc.date.available2010-09-07T10:37:21Z
dc.date.copyright2008
dc.date.issued2010-09-07T10:37:21Z
dc.identifier.urihttp://hdl.handle.net/11718/8526
dc.description.abstractThe 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.isoenen
dc.subjectForecastingen
dc.subjectTea Productionen
dc.titleForecasting Through Time Series Analysis: Tea Production in India (revised)en
dc.typeCases and Notesen


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