Hi, I've been asked to model some time series data, and decide on an ARIMA model that fits the data. The ACF function is here:
Lag ACF T LBQ
1 0.586150 4.69 23.04
2 0.408311 2.51 34.39
3 0.329731 1.86 41.92
4 0.273238 1.46 47.18
5 0.202848 1.05 50.12
6 0.177614 0.90 52.42
7 0.268110 1.35 57.75
8 0.308876 1.51 64.95
9 0.168360 0.80 67.12
10 0.058480 0.27 67.39
11 0.021731 0.10 67.43
12 -0.013771 -0.06 67.44
13 -0.087347 -0.41 68.07
14 -0.141421 -0.66 69.76
15 -0.093529 -0.43 70.52
16 0.005236 0.02 70.52
Can anyone tell me does this tie in with any form of ARIMA model? It has neither exponential decay nor dampened sine wave pattern so I'm not sure what sort of ARIMA model it is....can an ARIMA model be fit to any time series data?
EDIT: I have also included the Partial ACF
Lag PACF T
1 0.586150 4.69
2 0.098623 0.79
3 0.086449 0.69
4 0.045795 0.37
5 -0.011158 -0.09
6 0.036542 0.29
7 0.193089 1.54
8 0.108800 0.87
9 -0.164746 -1.32
10 -0.125295 -1.00
11 -0.039242 -0.31
12 -0.025928 -0.21
13 -0.076606 -0.61
14 -0.110575 -0.88
15 -0.012256 -0.10
16 0.137233 1.10
Lag ACF T LBQ
1 0.586150 4.69 23.04
2 0.408311 2.51 34.39
3 0.329731 1.86 41.92
4 0.273238 1.46 47.18
5 0.202848 1.05 50.12
6 0.177614 0.90 52.42
7 0.268110 1.35 57.75
8 0.308876 1.51 64.95
9 0.168360 0.80 67.12
10 0.058480 0.27 67.39
11 0.021731 0.10 67.43
12 -0.013771 -0.06 67.44
13 -0.087347 -0.41 68.07
14 -0.141421 -0.66 69.76
15 -0.093529 -0.43 70.52
16 0.005236 0.02 70.52
Can anyone tell me does this tie in with any form of ARIMA model? It has neither exponential decay nor dampened sine wave pattern so I'm not sure what sort of ARIMA model it is....can an ARIMA model be fit to any time series data?
EDIT: I have also included the Partial ACF
Lag PACF T
1 0.586150 4.69
2 0.098623 0.79
3 0.086449 0.69
4 0.045795 0.37
5 -0.011158 -0.09
6 0.036542 0.29
7 0.193089 1.54
8 0.108800 0.87
9 -0.164746 -1.32
10 -0.125295 -1.00
11 -0.039242 -0.31
12 -0.025928 -0.21
13 -0.076606 -0.61
14 -0.110575 -0.88
15 -0.012256 -0.10
16 0.137233 1.10