Bias of an estimator
Builds on EstimatorExpected value
Definition
Let be an estimator of a real parameter , with for each . Here is the expectation when is the true parameter. The bias of at is The estimator is unbiased if for each .
Remarks
For an i.i.d. sample with mean , the sample mean is an unbiased estimator of . The sample variance with divisor has bias . With divisor , it is unbiased. An unbiased estimator need not be good. The mean squared error is variance plus squared bias, and a biased estimator can have a smaller mean squared error. Unbiasedness is not preserved by nonlinear maps. For example, the sample standard deviation is a biased estimator of , even though is unbiased for .
Reading path
To understand this page from the ground up, read these 55 pages in order. The foundations come first.
- Construction of the reals from Cauchy sequences concept
- Element definition
- Integers object
- Ordered field definition
- Proposition concept
- Random experiment concept
- Rational numbers object
- Real numbers object
- Set definition
- Ring of integers statement
- Disjunction definition
- Implication definition
- Predicate definition
- Ordered pair definition
- Union definition
- Sample space definition
- The rationals form a field statement
- Existential quantifier definition
- Universal quantifier definition
- Cartesian product definition
- Subset definition
- The rationals form an ordered field statement
- Uniqueness quantifier definition
- Binary relation definition
- Universal set definition
- Order on the reals definition
- Power set definition
- Complement definition
- Function definition
- Interval definition
- Injective function definition
- Preimage of a set definition
- Sigma-algebra definition
- Countable set definition
- Event definition
- Borel sigma-algebra definition
- Probability axioms concept
- Probability measure definition
- Probability distribution definition
- Probability space definition
- Conditional probability definition
- Random variable definition
- Discrete random variable definition
- Law of a random variable definition
- Independence of two events definition
- Random variable with a density definition
- Identically distributed random variables definition
- Expected value definition
- Mutual independence of events definition
- Independent sigma-algebras definition
- Independence of random variables definition
- Independent and identically distributed random variables definition
- Statistic definition
- Estimator definition
- Bias of an estimator definition
Where this leads
23 pages build on this one.
- Chi-squared test
- Student's t-test
- Sample variance
- Student's t-distribution
- Chi-squared distribution
- Mean squared error
- Efficiency of an estimator
- Hodges' superefficient estimator
- Score test
- F-distribution
- Sample mean and sample covariance
- Bias–variance decomposition
- Noncentral chi-squared distribution
- Kruskal–Wallis test
- Wishart distribution
- Minimum-variance unbiased estimator
- Empirical likelihood
- Cochran's theorem
- Jackknife
- Independence of sample mean and sample variance for normal samples
- Hotelling's T-squared distribution
- Wald test
- Wilks' theorem
Further reading
About this page
| Tag | 01BD2TFFP4 |
|---|---|
| URI | m2://01BD2TFFP4 |
| Kind | definition |
| Writing | W1 stated |
| MSC | 62F10 |
| Defines | Bias of an estimator |
| Uses | Estimator, Expected value |
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