Returns an array of cells for the initial/quick guess of the model's parameters
Syntax
AIRLINE_GUESS(X, Order, s)
- X
- is the univariate time series data (one dimensional array of cells (e.g. rows or columns)).
- Order
- is the time order in the data series (i.e. the first data point's corresponding date (earliest date=1 (default), latest date=0)).
Order Description 1 ascending (the first data point corresponds to the earliest date) (default) 0 descending (the first data point corresponds to the latest date) - s
- is the length of seasonality (expressed in terms of lags, where s > 1).
Warning
AIRLINE_GUESS() function is deprecated as of version 1.63: use AIRLINE_PARAM function instead.
Remarks
- The underlying model is described here.
- The time series is homogeneous or equally spaced.
- The time series may include missing values (e.g. #N/A) at either end.
- AIRLINE_GUESS returns the model's parameters in the following order:
- $\mu$
- $\theta$
- $\Theta$
- $\sigma$
- The AIRLINE_GUESS sets the $\mu$ and $\sigma$ equal to the differenced sample (i.e. $Z_t=(1-L)(1-L^s)Y_t$) average, and standard deviation respectively, and it sets the $\theta = 0$ and $\Theta=0$
Examples
Example 1:
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| Formula | Description (Result) | |
|---|---|---|
| =AIRLINE_AIC(Sheet1!$B$2:$B$15,1,$D$3,$D$6,$D$7,$D$4,$D$5) | 65.6 | Akaike's information criterion (AIC) |
| =AIRLINE_LLF(Sheet1!$B$2:$B$15,1,$D$3,$D$6,$D$7,$D$4,$D$5) | -25.47 | Log-Likelihood Function |
| =AIRLINE_CHECK($D$3,$D$6,$D$7,$D$4,$D$5) | 1 | Is the AIRLINE model stable? |
Files Examples
Related Links
References
- Hamilton, J .D.; Time Series Analysis , Princeton University Press (1994), ISBN 0-691-04289-6
- Tsay, Ruey S.; Analysis of Financial Time Series John Wiley & SONS. (2005), ISBN 0-471-690740
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