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2010•Journal of Shangrao Normal UniversityRequires access

The Forecasting Model of Time Series for Total Retail Sales of Consumer Goods Food Categories in China

Yufang Li

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Abstract

Under the SPSS system,this paper analysis the total retail sales of social consumer goods categories in China from January 2004 to December 2009 by applying the multiplicative seasonal model.From the model identification,parameter estimation,adaptive testing and the actual fitting,we identifies a statistical forecasting models.The results of analysis showed that the model can better reflect the changes of the total retail sales.

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What this paper is about

Under the SPSS system,this paper analysis the total retail sales of social consumer goods categories in China from January 2004 to December 2009 by applying the multiplicative seasonal model.From the model identification,parameter estimation,adaptive testing and the actual fitting,we identifies a statistical forecasting models.The results of analysis showed that the model can better reflect the changes of the total retail sales.

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Available abstract

Under the SPSS system,this paper analysis the total retail sales of social consumer goods categories in China from January 2004 to December 2009 by applying the multiplicative seasonal model.From the model identification,parameter estimation,adaptive testing and the actual fitting,we identifies a statistical forecasting models.The results of analysis showed that the model can better reflect the changes of the total retail sales.

Key concepts: Retail sales, China, Multiplicative function, Identification (biology), Econometrics, Retail trade, Time series, Business

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