This work aims to develop an optimal time series model for predicting future monthly turnover of retail of Pharmaceutical, cosmetic and toiletry goods in Australia. This would cover broadly 3 aspects of time series models i.e. Classical Methods, ETS Methods and ARIMA methods.
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This work aims to develop an optimal time series model for predicting future monthly turnover of retail of Pharmaceutical, cosmetic and toiletry goods in Australia. This would cover broadly 3 aspects of time series models i.e. Classical Methods, ETS Methods and ARIMA methods.
asgharmustafa/time-series-analysis
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This work aims to develop an optimal time series model for predicting future monthly turnover of retail of Pharmaceutical, cosmetic and toiletry goods in Australia. This would cover broadly 3 aspects of time series models i.e. Classical Methods, ETS Methods and ARIMA methods.
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