1 / 23

Unknown systematic errors and the method of least squares Michael Grabe

Unknown systematic errors and the method of least squares Michael Grabe. alternative error model: true values and biases. Quantity to be measured true value. First Principle. Does metrology exist without a net of true values?. Not likely!. Impact of true values and biases

helmut
Download Presentation

Unknown systematic errors and the method of least squares Michael Grabe

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Unknown systematic errors and the method of least squares Michael Grabe alternative error model: true values and biases

  2. Quantity to be measuredtruevalue First Principle Does metrology exist without a net of true values? Not likely!

  3. Impact of true values and biases in least squares • Traceability • Gauß-Markoff theorem • Assessment of uncertainties • Key Comparisons

  4. Traceability Least squares adjustment

  5. Mean of means averaging is permitted if and only if the respective true values are identical

  6. mass Adjustment ad hoc ?

  7. A different approach empirical variance-covariance matrix

  8. Mean of means

  9. Let the input data be arithmetic means

  10. Gauß-Markoff Theorem The uncertainties are minimal... ...if the system has been weighted appropriately

  11. according to the GUM we should have but we encounter biases abolish the theorem ...

  12. Consequences ... • no more test of consistency • how to weight the system to minimize uncertainties?

  13. more ... and of utmost importance: weightings • shift estimators and • reduce measurement uncertainties

  14. true value reduction shift before after a picture

  15. Traceability: vary the weights by trial and error ... Assessment of uncertainties

  16. true value true value ... true value ... Key Comparison National Standards

  17. ... T ... Round Robin Calibration of a Travelling Standard T

  18. Consider the grand mean KCRV and the differences Key comparisons do more ...

  19. and look for where „consistent“ with

  20. against Should we test when constributesto ? Problem: In some cases the GUM may localize the true value of the travelling standard, in others not ...

  21. true value KCRV Differences between KCRV and individual calibrations ...

  22. ... true value Individual Calibrations a horizontal line should intersect each of the uncertainties

  23. ... KCRV true value KCRV and individual calibrations

More Related