Returns an array of cells for the initial/quick guess of the model's parameters

## Syntax

**AIRLINE_GUESS** (**[x]**, order, **s**)

**[X]**- Required. Is the univariate time series data (a one-dimensional array of cells (e.g., rows or columns)).
**Order**- Optional. Is the time order in the data series (i.e., the first data point's corresponding date (earliest date = 1 (default), latest date = 0)).
Value Order 1 Ascending (the first data point corresponds to the earliest date) ( **default**).0 Descending (the first data point corresponds to the latest date). **S**- Required. 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 (i.e., $Z_t=(1-L)(1-L^s)Y_t$) sample average, and standard deviation respectively, and it sets the $\theta = 0$ and $\Theta=0$.

## Files Examples

## Related Links

## References

- James Douglas Hamilton; Time Series Analysis, Princeton University Press; 1st edition(Jan 11, 1994), ISBN: 691042896.
- Tsay, Ruey S.; Analysis of Financial Time Series, John Wiley & SONS; 2nd edition(Aug 30, 2005), ISBN: 0-471-690740.

## Comments

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