 Usage:  {lr,alpha} = glmlrtest(loglik0,dim0,loglik1,dim1)  

 

 Input:



  loglik0                scalar, log-likelihood of the hypothesis model. 

                         

  dim0                   integer, dimension of the hypothesis model. 

                         

  loglik1                scalar, log-likelihood of the alternative model, 

                         loglik1 >= loglik0. 

                         

  dim1                   integer, dimension of the hypothesis model, 

                         dim1 >= dim0. 

                         

 Output:



  lr                     scalar, value of the lr test statistic. 

                         

  alpha                  scalar, significance level at which hypothesis 

                         is rejected. 

                         

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

