Model: ARIMA(0,2,3)(0,0,2)[12]
Coefficients:
Moving Average 1
Estimate: -0.4372
Standard Error: 0.0334
Moving Average 2
Estimate: -0.3944
Standard Error: 0.0328
Moving Average 3
Estimate: -0.0507
Standard Error: 0.0352
Seasonal Moving Average 1
Estimate: -0.1204
Standard Error: 0.0334
Seasonal Moving Average 2
Estimate: -0.0631
Standard Error: 0.0321
Residual Variance: 0.1351
Model Fit Metrics:
BIC: 830.6
AICc: 801.58
Forecast Values (Index 1982-1984 = 100):
2026
Jan: 327
Feb: 328
Mar: 329
Apr: 329
May: 330
Jun: 331
Jul: 332
Aug: 333
Sep: 333
Oct: 334
Nov: 335
Dec: 336
2027
Jan: 337
Feb: 337
Mar: 338
Apr: 339
May: 340
Jun: 341
Jul: 341
Aug: 342
Sep: 343
Oct: 344
Nov: 345
Dec: 345
Model: ETS(M,Ad,N)
Coefficients:
Alpha (level): 0.9999
Beta (trend): 0.2840139
Phi (damping parameter): 0.9799982
Level (l₀): 21.31806
Trend (b₀): 0.1736855
Residual Variance: 0
Model Fit Metrics:
BIC: 3864.531
AICc: 3835.494
(Note: October 2025 observation interpolated to address missing value)
Forecast Values (Index 1982-1984 = 100):
2026
Jan: 327
Feb: 327
Mar: 328
Apr: 329
May: 329
Jun: 330
Jul: 330
Aug: 331
Sep: 332
Oct: 332
Nov: 333
Dec: 333
2027
Jan: 334
Feb: 334
Mar: 335
Apr: 335
May: 336
Jun: 336
Jul: 337
Aug: 337
Sep: 338
Oct: 338
Nov: 338
Dec: 339