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In statistics, efficiency is a measure of quality of an estimator, of an experimental design, or of a hypothesis testing procedure. Essentially, a more efficient estimator needs fewer input data or observations than a less efficient one to achieve the Cramér–Rao bound. An efficient estimator is characterized by having the smallest possible variance…
Overview, Estimators & Hypothesis tests
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estimator efficiency variance efficient mean estimators unbiased displaystyle sample parameter relative distribution statistics thus cramér rao possible often example theta
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| the sample mean is an efficient estimator of the population mean of a normal distribution | instance of | an estimator | 0.80 | text |
| for example | instance of | an estimator | 0.80 | text |
| but can be an inefficient estimator of a mixture distribution of two normal distributions with the same mean | instance of | an estimator | 0.80 | text |
| different variances | instance of | an estimator | 0.80 | text |
| time | instance of | efficiency relates to the ability of a design to achieve the objective of the study with minimal expenditure of resources | 0.80 | text |
| money | instance of | efficiency relates to the ability of a design to achieve the objective of the study with minimal expenditure of resources | 0.80 | text |
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