ACF
Model Description
Model Name | MOD_3 |
Series Name | 1 | Yi |
Transformation | None |
Non-Seasonal Differencing | 0 |
Seasonal Differencing | 0 |
Length of Seasonal Period | No periodicity |
Maximum Number of Lags | 16 |
Process Assumed for Calculating the Standard Errors of the Autocorrelations | Independence(white noise)(a) |
Display and Plot | All lags |
| | |
Applying the model specifications from MOD_3
a
Not applicable for calculating the standard errors of the partial autocorrelations.
Case Processing Summary
| Yi |
Series Length | 51 |
Number of Missing Values | User-Missing | 0 |
[tr]
[td=1,1,151]System-Missing[/td]
[td=1,1,72]1(a)
Number of Valid Values | 50 |
Number of Computable First Lags | 49 |
a
Some of the missing values are imbedded within the series.
这是一些相关数据
扫码加好友，拉您进群
全部版块
我的主页
收藏
