 Usage:  dat=stockest(data)  
 
 Input:

  data                   n x 1 vector , data of a random process 
                         
 Output:

  mue                    scalar , increasing rate of return in model 1 
                         
  sigma                  scalar , volatility of the returns in model 1 
                         
  lambda                 scalar , number of jumps in model 2 
                         
  mue2                   scalar , increasing rate of return in the 
                         diffusion part of model 2 
                         
  sigma2                 scalar , volatility of the returns in the 
                         diffusion part of model 2 
                         
  jump                   scalar , volatility for the height of jumps 
                         in model 2 
                         
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(C) MD*TECH Method and Data Technologies, 17.8.2000
