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AIRLINE_GUESS
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 of the data series (i.e. whether the first data point corresponds to the earliest or latest date (earliest date=1 (default), latest date=0)).
Order  Description 

1  ascending (the first data point corresponds to the earliest date) 
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).
Remarks
 The underlying model is described here.
 Warning: AIRLINE_GUESS() function is deprecated as of version 1.63: use AIRLINE_PARAM function instead.
 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:
 The Airline model is a special case of multiplicative seasonal ARMA^{i} model.
 The Airline model is a special case of multiplicative seasonal ARIMA^{i} model, and it assumes independent and normally distributed residuals with constant variance.
Examples
Example 1:
A  B  C  D  

1  Date  Data  
2  1/1/2008  0.300 
ARMA 

3  1/2/2008  1.278  Mean  0.00258 
4  1/3/2008  0.244  Sigma  0.14 
5  1/4/2008  1.276  Phi_1  0.236 
6  1/6/2008  1.733  Theta_1  5.60E05 
7  1/7/2008  2.184  
8  1/8/2008  0.234  
9  1/9/2008  1.095  
10  1/10/2008  1.087  
11  1/11/2008  0.690  
12  1/12/2008  1.690  
13  1/13/2008  1.847  
14  1/14/2008  0.978  
15  1/15/2008  0.774 
Formula  Description (Result)  

=ARMA_AIC^{i}($B$2:$B$15,1,$D$3,$D$4,$D$5,$D$6)  1046.59  Akaike's information criterion (AIC)  
=ARMA_LLF^{i}($B$2:$B$15,1,$D$3,$D$4,$D$5,$D$6)  519.095  LogLikelihood Function  
=ARMA_CHECK($D$3,$D$4,$D$5,$D$6)  1  Is ARMA model stable? 
Files Examples
References
 Hamilton, J .D.; Time Series Analysis , Princeton University Press (1994), ISBN 0691042896
 Tsay, Ruey S.; Analysis of Financial Time Series John Wiley & SONS. (2005), ISBN 0471690740