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

DOI:

https://doi.org/10.33423/jsis.v14i3.2109

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.

Downloads

Published

2019-07-18

How to Cite

Ren, L., & Ren, P. (2019). Forecast Precision and Forecast Accuracy from Moving Average and Moving Median Methods on Skewed Lognormal Time Series. Journal of Strategic Innovation and Sustainability, 14(3). https://doi.org/10.33423/jsis.v14i3.2109

Issue

Section

Articles