 Usage:  {mh, clo, cup} = regxcb(x {,h {,alpha {,K} {,d}}})  

 

 Input:



  x                      n x 2, the data. In the first column the 

                         independent, in the second column the 

                         dependent variable. 

                         

  h                      scalar, bandwidth. If not given, 20% of the 

                         range of x[,1] is used. 

                         

  alpha                  confidence level, If not given, 0.05 is used. 

                         

  K                      string, kernel function on [-1,1] with 

                         K(-1)=K(1)=0. If not given, the Quartic kernel 

                         "qua" is used. 

                         

  xv                     m x 1, values of the independent variable on 

                         which to compute the regression. If not given, 

                         x is used. 

                         

 Output:



  mh                     n x 2 or m x 2 matrix, the first column is the 

                         sorted first column of x or the sorted xv, the 

                         second column contains the regression estimate 

                         on the values of the first column. 

                         

  clo                    n x 2 or m x 2 matrix, the first column is the 

                         sorted first column of x or the sorted xv, the 

                         second column contains the lower confidence 

                         bounds on the values of the first column. 

                         

  cup                    n x 2 or m x 2 matrix, the first column is the 

                         sorted first column of x or the sorted xv, the 

                         second column contains the upper confidence 

                         bounds on the values of the first column. 

                         

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(C) MD*TECH Method and Data Technologies, 21.9.2000

