Original

Discrete-time IDPOLY model: y(t) = [B(q)/F(q)]u(t) + e(t)
B(q) = 1.441 (+-0.02501) q^-1                            
                                                         
F(q) = 1 - 0.7136 (+-0.006516) q^-1                      
                                                         
Estimated using OE from data set datatrain               
Loss function 0.523117 and FPE 0.52522                   
Sampling interval: 1                                     
Created:       06-Sep-2005 17:40:24                      
Last modified: 06-Sep-2005 17:40:26                      
                                                         
AR model of residual, line 33

Discrete-time IDPOLY model: A(q)y(t) = e(t)                            
A(q) = 1 - 0.8771 (+-0.01519) q^-1                                     
                                                                       
Estimated using AR ('fb'/'now')
Loss function 0.120275 and FPE 0.120516
Sampling interval: 1                                                   
Created:       06-Sep-2005 17:40:30                                    
Last modified: 06-Sep-2005 17:40:31                                    
                                                                       
line 42 - BJ model

Discrete-time IDPOLY model: y(t) = [B(q)/F(q)]u(t) + [1/D(q)]e(t)
B(q) = 1.341 (+-0.01788) q^-1                                    
                                                                 
D(q) = 1 - 0.8906 (+-0.01486) q^-1                               
                                                                 
F(q) = 1 - 0.7395 (+-0.005) q^-1                                 
                                                                 
Estimated using BJ from data set datatrain                       
Loss function 0.115904 and FPE 0.116604                          
Sampling interval: 1                                             
Created:       06-Sep-2005 17:40:31                              
Last modified: 06-Sep-2005 17:40:31                              
                                                                 
Line 48 - BJ2 model

Discrete-time IDPOLY model: y(t) = [B(q)/F(q)]u(t) + [1/D(q)]e(t)
B(q) = 1.206 (+-0.021) q^-1                                      
                                                                 
D(q) = 1 - 0.8927 (+-0.01442) q^-1                               
                                                                 
F(q) = 1 - 0.9156 (+-0.01734) q^-1 + 0.1624 (+-0.01533) q^-2     
                                                                 
Estimated using BJ from data set datatrain                       
Loss function 0.105265 and FPE 0.106115                          
Sampling interval: 1                                             
Created:       06-Sep-2005 17:40:32                              
Last modified: 06-Sep-2005 17:40:32                              
                   
Line 58, OE 111
                                              
Discrete-time IDPOLY model: y(t) = [B(q)/F(q)]u(t) + e(t)
B(q) = 1.333 (+-0.0177) q^-1                             
                                                         
F(q) = 1 - 0.7422 (+-0.005223) q^-1                      
                                                         
Estimated using OE from data set datadifftrain           
Loss function 0.127381 and FPE 0.127893                  
Sampling interval: 1                                     
Created:       06-Sep-2005 17:40:35                      
Last modified: 06-Sep-2005 17:40:35                      
                                                         
Line 62, OE 121

Discrete-time IDPOLY model: y(t) = [B(q)/F(q)]u(t) + e(t) 
B(q) = 1.2 (+-0.02035) q^-1                               
                                                          
F(q) = 1 - 0.9157 (+-0.0169) q^-1 + 0.163 (+-0.01496) q^-2
                                                          
Estimated using OE from data set datadifftrain            
Loss function 0.115816 and FPE 0.116517                   
Sampling interval: 1                                      
Created:       06-Sep-2005 17:40:36                       
Last modified: 06-Sep-2005 17:40:36                       
                                                          
Line 66, OE 221

Discrete-time IDPOLY model: y(t) = [B(q)/F(q)]u(t) + e(t) 
B(q) = 1.205 (+-0.02081) q^-1 - 0.2074 (+-0.1224) q^-2    
                                                          
F(q) = 1 - 1.064 (+-0.0856) q^-1 + 0.2733 (+-0.06258) q^-2
                                                          
Estimated using OE from data set datadifftrain            
Loss function 0.115655 and FPE 0.11659                    
Sampling interval: 1                                      
Created:       06-Sep-2005 17:40:37                       
Last modified: 06-Sep-2005 17:40:37                       
                                                          
Line 72 - OE route

Discrete-time IDPOLY model: y(t) = [B(q)/F(q)]u(t) + [1/D(q)]e(t)
B(q) = 1.205 q^-1 - 0.2074 q^-2                                  
                                                                 
D(q) = 1 - q^-1                                                  
                                                                 
F(q) = 1 - 1.064 q^-1 + 0.2733 q^-2                              
                                                                 
This model was not estimated from data.                          
Sampling interval: 1                                             
Created:       06-Sep-2005 17:40:38                              
Last modified: 06-Sep-2005 17:40:38                              
                                                                 
Line 73 - BJ2 route

Discrete-time IDPOLY model: y(t) = [B(q)/F(q)]u(t) + [1/D(q)]e(t)
B(q) = 1.206 (+-0.021) q^-1                                      
                                                                 
D(q) = 1 - 0.8927 (+-0.01442) q^-1                               
                                                                 
F(q) = 1 - 0.9156 (+-0.01734) q^-1 + 0.1624 (+-0.01533) q^-2     
                                                                 
Estimated using BJ from data set datatrain                       
Loss function 0.105265 and FPE 0.106115                          
Sampling interval: 1                                             
Created:       06-Sep-2005 17:40:32                              
Last modified: 06-Sep-2005 17:40:32                              
                                                                 
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