Forecast Precision and Forecast Accuracy from Moving Average and Moving Median Methods on Skewed Lognormal Time Series

Authors

  • Louie Ren University of Houston-Victoria
  • Peter Ren University of Houston-Downtown

Keywords:

Strategic Innovation, Sustainability, Forecast Precision, Forecast Accuracy, Moving Average, Moving Median

Abstract

We examine the forecast precision and accuracy for forecasts from moving average and moving median methods on skewed i.i.d. time series following various lognormal probability distributions. Overall, we recommend the Moving Average method, MA, when forecasting time series that follow lognormal distributions.

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Published

2019-07-18

Issue

Section

Articles

How to Cite

Forecast Precision and Forecast Accuracy from Moving Average and Moving Median Methods on Skewed Lognormal Time Series. (2019). Journal of Strategic Innovation and Sustainability, 14(3). https://articlearchives.co/index.php/JSIS/article/view/4863