Consistent estimator
Builds on EstimatorConvergence in probability
Definition
For each , let be an estimator of a real parameter that uses the first observations of a sample. The sequence is consistent if, for each , in probability when is the true parameter:
Remarks
If the convergence is almost sure, the sequence is strongly consistent. By the weak law of large numbers, the sample mean of an i.i.d. sample is a consistent estimator of the mean. If the mean squared error of tends to , then is consistent. This follows from Markov's inequality. Consistent estimators can be biased, and unbiased estimators can fail to be consistent. For example, the estimator of the mean uses only one observation: it is unbiased but not consistent, unless is almost surely constant.
Reading path
To understand this page from the ground up, read these 51 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
- Preimage of a set definition
- Sigma-algebra 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
- Independence of two events definition
- Law of a random variable definition
- Convergence in probability definition
- Mutual independence of events definition
- Identically distributed random variables definition
- Independent sigma-algebras definition
- Independence of random variables definition
- Independent and identically distributed random variables definition
- Statistic definition
- Estimator definition
- Consistent estimator definition
Where this leads
19 pages build on this one.
- Method of moments
- Maximum likelihood estimation
- Poisson regression
- Consistency of the maximum likelihood estimator
- M-estimator
- Asymptotic normality of the maximum likelihood estimator
- Whittle likelihood
- Logistic regression
- Bayesian information criterion
- Akaike information criterion
- Estimating equations
- Generalized method of moments
- Likelihood-ratio test
- Expectation–maximization algorithm
- Wald test
- Generalized linear model
- Box–Jenkins method
- Observed information
- Point estimation
Further reading
About this page
| Tag | 0XJVF81QF6 |
|---|---|
| URI | m2://0XJVF81QF6 |
| Kind | definition |
| Writing | W0 stub |
| MSC | 62F12 |
| Defines | Consistent estimator |
| Uses | Estimator, Convergence in probability |
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