Important announcement

Dear visitor,

Please note that this OpenCourseWare platform will be replaced at the end of 2026 by a new platform (under the same url ocw.tudelft.nl).

Courses and their contents that are currently available the platform will partly be migrated. URL’s for this content will change and content might be unavailable for some time. In addition, some courses will not be available anymore.

If you are linking to specific courses on this platform (for instance for your students), please take timely measures to avoid problems with access. Possible actions are:

  • Download the materials to your local platform (laptop, server)
  • For educators only (including TU Delft lecturers): Contact us at ocw@tudelft.nl and inform us what course you are using in what context (institute, program, period of use, number of students). We will research (in collaboration with the authors of the course) and decide if we will migrate the course, and if yes, can supply you with a new url.

Thank you.

Learning objectives: does it make sense?

Course subject(s) 6. Does the estimate make sense?

In the previous modules, you learned how to estimate the parameters of interest based on the principles of (weighted) least squares or best linear unbiased estimation. Also, we learned how to describe the precision of the final results.  But just knowing the estimate of the parameters and their precision is not sufficient. All the obtained results are based on the assumption that the assumed mathematical model is correct. To see whether the results makes sense or not, we need to take one more step and check the general/overall validity of the assumed mathematical model.

Learning objectives:

By the end of this module you will be able to:

  • Explain and apply the concept of overall model test to check the overall validity of the mathematical model
  • Explain and hypothesize of the reasons which may cause the rejection of a mathematical model.
Creative Commons License
Observation Theory: Estimating the Unknown by TU Delft OpenCourseWare is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Based on a work at https://ocw.tudelft.nl/courses/observation-theory-estimating-unknown.
Back to top
[sg_popup id=6]