Topics:
Definition of Systematic Errors; Motivation – Observations from 127
IUCrData data sets;
What metrics can do for you and what they can’t do for you;
When standard metrics fail: some examples and how to identify them; the
important role of the standard deviation (Io);
Examples of new metrics with applications; case studies;
Symptom, Syndrome, Diagnosis;
The important role of simulations;
Error compensation and more.
|