| Popis: |
Model testing and parameter estimation are inextricably linked but often done separately. Chi-squared analysis combines model testing with parameter estimation, improving on both and providing answers to five important questions about the results of an experiment on a system for which a model is available: 1. What are the best fit parameter values? 2. Is the best fit a good fit? 3. What are the uncertainties on the best fit parameters? 4. Even if the fit is good, should the model still be rejected? 5. Is the revised model an improvement? |
