The Best Moving Average Smoothing for GSTAR Model with Missing Value

Penulis

DOI:

https://doi.org/10.22437/multiproximity.v3i2.32274

Kata Kunci:

gold prices, imputation techniques, RMSE, weekend

Abstrak

This research identified the best imputation technique for the price of gold in Turkey, Saudi Arabia, and Indonesia which has been applied to the GSTAR model based on the smallest RMSE value. The moving average smoothing technique with k = 2, 3, 4, and 5 have been used in this study. However, the moving average smoothing technique with k = 3 is the best technique for importing gold price data during weekends in Turkey, Saudi Arabia, and Indonesia.

Biografi Penulis

  • Fadhlul Mubarak, Universitas Jambi

    Department of Agribusiness, Universitas Jambi Jambi, Indonesia

  • Vinny Yuliani Sundara, Department of Statistics

    Department of Statistics, UIN Sulthan Thaha Saifuddin Jambi, Indonesia

Diterbitkan

2024-10-30