More about residual values.
Acta Crystallogr A
; 69(Pt 6): 549-58, 2013 Nov.
Article
in En
| MEDLINE
| ID: mdl-24132216
ABSTRACT
The usual residual values are complemented by expectation values based solely on the experimental data and the number of model parameters. These theoretical R values serve as benchmark values when all of the basic assumptions for a least-squares refinement, i.e. no systematic errors and a fully adequate model capable of describing the data, are fulfilled. The prediction of R values as presented here is applicable to any field where model parameters are fitted to data with known precision. For crystallographic applications, F(2)-based residual benchmark values are given. They depend on the first and second moments of variance, intensity and significance distributions, <σ(2)>,
Full text:
1
Database:
MEDLINE
Type of study:
Prognostic_studies
Language:
En
Year:
2013
Type:
Article