estimation theory
- noun
- /ˌɛstəˈmeɪʃən ˈθɪəri/
- Specialized
:
teoría de la estimación
- Estimation theory is essential for analyzing data collected from experiments to infer population characteristics.
Examples
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Statistical assumptions, statistical decision theory, estimation theory, hypothesis testing, design of experiments, analysis of variance, and analysis of regression are prominent topics of study in the theory of inferential statistics.
Blog text (23) -
Anybody who does control and estimation theory can tell you that somebody who knows statistics can do amazing things with a series of noisy measurements of the same underlying system.
Blog text (7) -
In estimation theory, researchers use sample data to make conclusions about a larger population.
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Understanding estimation theory helps statisticians improve the accuracy of their predictions based on observed data.
Surface Forms
Morphology
The term is compositionally built from 'estimation' (approximate calculation) + 'theory' (set of ideas), so its meaning as ‘theory/about principles of estimation’ is directly derivable from the parts. Although it is a technical statistical term, the noun–noun combination follows standard, cross‑linguistic patterns, so a learner who knows both constituents would grasp the basic sense.
Etymology
Estimation theory comes from the simple image of estimation as making a careful 'guess' from limited facts and theory as the set of ideas or rules for doing that. So, estimation theory is the study of methods to 'estimate' unknown values from observed data.
