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Monthly Minneapolis public drunkenness intakes Jan.’66-Jul’78

Monthly Minneapolis public drunkenness intakes Jan.’66-Jul’78. Source : Time Series Data Library www.datamarket.com. Meghan Burke. Goals. Provide a descriptive analysis of this time series Develop the best models to forecast future monthly Minneapolis public drunkenness intakes

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Monthly Minneapolis public drunkenness intakes Jan.’66-Jul’78

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  1. Monthly Minneapolis public drunkenness intakes Jan.’66-Jul’78 Source: Time Series Data Library www.datamarket.com Meghan Burke

  2. Goals • Provide a descriptive analysis of this time series • Develop the best models to forecast future monthly Minneapolis public drunkenness intakes • Understand the time series structure

  3. Initial Time Series Plot

  4. Time Series Comparison Initial Adjusted

  5. Time Series Comparison Adjusted Initial

  6. Model Comparisons • Best Smoothing Models: • Seasonal Exponential Smoothing • Winters Method • ARIMA (0, 0, 1)

  7. Seasonal Exponential Smoothing

  8. Winters Method

  9. ARIMA (0,0,3)

  10. Forecast Predictions from the Exponential Smoothing Models

  11. Comparing Forecast Predictions • Best Smoothing Model • Seasonal Exponential Smoothing

  12. Citation • David E. Aaronson, C. Thomas Dienes, and Michael C. Musheno,Changing the Public Drunkenness Laws: The Impact of Decriminalization, 12Law & Soc'y Rev.405 (1977), Available at: http://scholarship.law.berkeley.edu/facpubs/113

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