Statistics Foundations of statistics Concept
Parametric model
Summary
A parametric model is a statistical model whose laws are described by finitely many real numbers, the parameters. Inference in such a model reduces to learning a point of a subset of . Most classical theory, such as maximum likelihood and the Cramér–Rao bound, is developed for parametric models.
Where this leads
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Further reading
About this page
| Tag | MSC0MR8VMH |
|---|---|
| URI | m2://MSC0MR8VMH |
| Kind | concept |
| Writing | W0 stub |
| MSC | 62A01, 62F99 |
| Specializes | Statistical model |
| Same as |
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Used by
- Nonparametric statistics
- Fisher information
- Exponential family
- Lehmann–Scheffé theorem
- Loss function
- Rao–Blackwell theorem