parameter estimator
1Estimator — In statistics, an estimator is a function of the observable sample data that is used to estimate an unknown population parameter (which is called the estimand ); an estimate is the result from the actual application of the function to a… …
2estimator — A prescription for obtaining an estimate from a random sample of data. An e. is a procedure, not a result, and therefore is a random variable and has a variance. For instance an e. of the mean weight in adult …
3estimator — noun Date: 1611 1. one that estimates 2. estimate 3b; also a statistical function whose value for a sample furnishes an estimate of a population parameter …
4estimator — noun a) A person who estimates, especially one who estimates costs b) A function of a random sample of a population used to estimate some parameter of the whole population See Also: overestimator, underestimator …
5Bayes estimator — In decision theory and estimation theory, a Bayes estimator is an estimator or decision rule that maximizes the posterior expected value of a utility function or minimizes the posterior expected value of a loss function (also called posterior… …
6Invariant estimator — In statistics, the concept of being an invariant estimator is a criterion that can be used to compare the properties of different estimators for the same quantity. It is a way of formalising the idea that an estimator should have certain… …
7Minimax estimator — In statistical decision theory, where we are faced with the problem of estimating a deterministic parameter (vector) from observations an estimator (estimation rule) is called minimax if its maximal risk is minimal among all estimators of . In a… …
8Scale parameter — In probability theory and statistics, a scale parameter is a special kind of numerical parameter of a parametric family of probability distributions. The larger the scale parameter, the more spread out the distribution.DefinitionIf a family of… …
9Consistent estimator — {T1, T2, T3, …} is a sequence of estimators for parameter θ0, the true value of which is 4. This sequence is consistent: the estimators are getting more and more concentrated near the true value θ0; at the same time, these estimators are biased.… …
10Bias of an estimator — In statistics, the difference between an estimator s expected value and the true value of the parameter being estimated is called the bias. An estimator or decision rule having nonzero bias is said to be biased.Although the term bias sounds… …
