Please use this identifier to cite or link to this item: http://hdl.handle.net/11718/6927
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dc.contributor.authorGupta, G. S.
dc.date.accessioned2010-08-04T06:45:35Z
dc.date.available2010-08-04T06:45:35Z
dc.date.copyright1991
dc.date.issued2010-08-04T06:45:35Z
dc.identifier.urihttp://hdl.handle.net/11718/6927
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.subjectEconomic Analysisen
dc.titleForecasting Through Time Series Analysis: Tea Production in Indiaen
dc.typeCases and Notesen
Appears in Collections:Cases and Notes

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