Physics307L:Schedule/Week 10 agenda: Difference between revisions
From OpenWetWare
Jump to navigationJump to search
No edit summary |
No edit summary |
||
| Line 6: | Line 6: | ||
***Maximum likelihood...Chi-squared | ***Maximum likelihood...Chi-squared | ||
***Derivative (minimize Chi-squared) / solve | ***Derivative (minimize Chi-squared) / solve | ||
**Practical step by step w/ Excel | ****Just show the answer, ... skip derivation for time for practical examples. | ||
**Practical step by step w/ Excel..."R"...."Octave?" | |||
Revision as of 02:06, 22 October 2007
- Fitting a line
- AKA linear regression; least-squares fit for a line
- Why fitting a line?
- Theoretical
- Assume gaussian distribution for each [math]\displaystyle{ y_i }[/math] with same sigma for all measurements (not necessary, but simplifies it).
- Maximum likelihood...Chi-squared
- Derivative (minimize Chi-squared) / solve
- Just show the answer, ... skip derivation for time for practical examples.
- Practical step by step w/ Excel..."R"...."Octave?"
