Statistics Point estimation Concept
Estimator
Summary
An estimator is a rule that computes a guess of an unknown parameter from the data. It is a statistic that one uses for this purpose. The node estimator gives the precise definition.
Where this leads
11 pages build on this one.
Further reading
- Web https://en.wikipedia.org/wiki/Estimator, lead section
About this page
| Tag | 0SSS6ERQ0S |
|---|---|
| URI | m2://0SSS6ERQ0S |
| Aliases | point-estimator |
| Kind | concept |
| Writing | W1 stated |
| MSC | 62F10 |
| Specializes | Statistic |
| Same as |
Markdown · JSON · Edit on GitHub
What this page needs for W2
- edge instance_of in: at least two examples (0 of 2)
- edge not_instance_of in: at least one non-example (0 of 1)
The writing levels say how complete the text of a page is. They do not measure its truth.
What links here
Special cases
- Consistent estimator
- M-estimator
- L-estimator
- Shrinkage estimator
- Horvitz–Thompson estimator
- Hodges–Lehmann estimator
- Minimum-variance unbiased estimator