Table 10.
Fitting results and prediction results of CO2 emissions of Asia Pacific
| Year | data | NGM | SIGM | GMP | FGM | NGBM(1,1,k,c) | FAGM(1,1,) | FGBM |
|---|---|---|---|---|---|---|---|---|
| 2009 | 13,244.47 | 13,244.47 | 13,244.47 | 13,244.47 | 13,244.47 | 13,244.47 | 13,244.47 | 13,244.47 |
| 2010 | 13,993.5 | 14,039.21 | 14,004.53 | 14,037.98 | 13,993.5 | 13,989.08 | 14,044.40 | 13,993.5 |
| 2011 | 14,876.64 | 14,850.3 | 14,843.42 | 14,866.61 | 14,828.75 | 14,862.94 | 14,769.40 | 14,869.13 |
| 2012 | 15,310.55 | 15,338.96 | 15,343.17 | 15,339.22 | 15,339.94 | 15,338.78 | 15,284.81 | 15,394.69 |
| 2013 | 15,666.93 | 15,633.38 | 15,640.89 | 15,619.27 | 15,655.5 | 15,623.05 | 15,626.99 | 15,666.93 |
| 2014 | 15,802.62 | 15,810.76 | 15,818.25 | 15,795.15 | 15,842.54 | 15,802.63 | 15,840.96 | 15,801.7 |
| 2015 | 15,894.14 | 15,917.63 | 15,923.9 | 15,914.68 | 15,939.34 | 15,921.87 | 15,963.44 | 15,898.41 |
| 2016 | 16,022.09 | 15,982.01 | 15,986.85 | 16,003.74 | 15,969.78 | 16,005.85 | 16,022.09 | 16,041.41 |
| Year | data | NGM | SIGM | GMP | FGM | NGBM(1,1,k,c) | FAGM(1,1,) | FGBM |
| 2017 | 16,357.09 | 16,020.8 | 16,024.34 | 16,076.31 | 15,949.83 | 16,069.61 | 16,037.07 | 16,304.71 |
| 2018 | 16,863.32 | 16,044.18 | 16,046.68 | 16,139.97 | 15,890.71 | 16,122.45 | 16,022.88 | 16,755.99 |
| 2019 | 17,269.46 | 16,058.26 | 16,059.99 | 16,198.8 | 15,800.65 | 16,170.25 | 15,989.84 | 17,459.35 |