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Predicting Time Series Turning Points with Arima Models

By Stephen E. Miller

Abstract

Research Methods/ Statistical Methods,

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Citations

  1. (1976). Analysis, Forecasting and San Francisco: Holden-Day,
  2. Comparing the Box-Jenkins and Econometric Techniques for Forecasting Beef Prices."
  3. Daily Fluctuations in Campground Use: An Econometric Analysis."
  4. eeded Improvements in Application of Models for Agriculture Commodity Price Forecasting: Discussion."
  5. Forecasting N.S.W. Beef Production: An Evaluation of Alternative Techniques."
  6. Forecasting Specific Turning Points."
  7. Forecasting Wheat Yields: An Application of Parametric Time Series Modeling."
  8. (1977). Multiple Time Series Analysis and the Final Form of Econometric Models."
  9. Predicting the Turning Points of a Time Series."
  10. Time Series Modeling of Economic Phenomena."

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