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Core CIF Dictionary version 2.3

_refine_ls_goodness_of_fit_obs

Name

'_refine_ls_goodness_of_fit_obs'

Category: refine

Data type: numb (with optional s.u. in parentheses)

Related item: '_refine_ls_goodness_of_fit_gt'
Related function: replace

Enumeration range: 0.0 -> infinity

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. 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
 


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