A Bayesian three-stage model in crystallography

A Bayesian method of statistical analysis is presented, one which provides a more powerful approach than classical least squares in circumstances where hitherto the latter technique has been applied. The general principles of the method are discussed and applications to crystallographic refinement and primary reduction of diffractometer data given.