Core dictionary (coreCIF) version 2.3.1

_refine_ls_goodness_of_fit_obs

This definition has been superseded and is retained here only for archival purposes. Use instead '_refine_ls_goodness_of_fit_gt'

Definition:

   The least-squares goodness-of-fit parameter S for observed
   reflections (see _reflns_observed_criterion) after the final
   cycle of refinement. Ideally, account should be taken of
   parameters restrained in the least-squares refinement. See also
   _refine_ls_restrained_S_ definitions.

       {  sum { w [ Y(obs) - Y(calc) ]^2^ }  }^1/2^
   S = { ----------------------------------- }
       {            Nref - Nparam            }

   Y(obs)  = the observed coefficients
             (see _refine_ls_structure_factor_coef)
   Y(calc) = the calculated coefficients
             (see _refine_ls_structure_factor_coef)
   w       = the least-squares reflection weight
             [1/(u^2^)]
   u       = standard uncertainty (e.s.d.)

   Nref   = the number of reflections used in the refinement
   Nparam = the number of refined parameters

   and the sum is taken over the specified reflections

Related item:

Type: numb

Category: refine