# Difference between revisions of "Maximum likelihood"

### From Online Dictionary of Crystallography

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+ | <font color="blue">Maximum de vraisemblance</font> (''Fr''). <font color="red">Maximale Wahrscheinlichkeit</font> (''Ge''). <font color="black">Metodo della massima verosimiglianza</font> (''It''). <font color="purple">最尤法</font> (''Ja''). <font color="green">Máxima verosimilitud</font> (''Sp''). | ||

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An approach to structure [[refinement]] in which the parameters of a structural model are modified to optimize the statistical probability of generating a set of observed intensities. The technique is often used in the refinement of structures of biological macromolecules, where the unfavourable parameter-to-observation ratio often leads to overfitted data and consequent systematic errors in least-squares minimization procedures. | An approach to structure [[refinement]] in which the parameters of a structural model are modified to optimize the statistical probability of generating a set of observed intensities. The technique is often used in the refinement of structures of biological macromolecules, where the unfavourable parameter-to-observation ratio often leads to overfitted data and consequent systematic errors in least-squares minimization procedures. | ||

[[Category:Biological crystallography]] | [[Category:Biological crystallography]] | ||

[[Category:Structure determination]] | [[Category:Structure determination]] |

## Latest revision as of 12:40, 16 November 2017

Maximum de vraisemblance (*Fr*). Maximale Wahrscheinlichkeit (*Ge*). Metodo della massima verosimiglianza (*It*). 最尤法 (*Ja*). Máxima verosimilitud (*Sp*).

An approach to structure refinement in which the parameters of a structural model are modified to optimize the statistical probability of generating a set of observed intensities. The technique is often used in the refinement of structures of biological macromolecules, where the unfavourable parameter-to-observation ratio often leads to overfitted data and consequent systematic errors in least-squares minimization procedures.