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Time Series Analysis of Wine Sales by Khursheed Khan is a document available to read on EtoBox.

The document discusses time series analysis and forecasting of wine sales data. Several models were tested including linear regression, naive forecasting, simple average, moving average, simple exponential smoothing, double exponential smoothing, and triple exponential smoothing. For the sparkling wine data, the best performing models were 2-point moving average and triple exponential smoothing with auto-selected parameters. For the rose wine data, linear regression and 2-point moving average performed best

Author

Khursheed Khan

Language

EN