unknown parameter
1Parameter — For other uses, see Parameter (disambiguation). Parameter from Ancient Greek παρά also “para” meaning “beside, subsidiary” and μέτρον also “metron” meaning “measure”, can be interpreted in mathematics, logic, linguistics, environmental science[1] …
2Nuisance parameter — In statistics, a nuisance parameter is any parameter which is not of immediate interest but which must be accounted for in the analysis of those parameters which are of interest. The classic example of a nuisance parameter is the variance, σ2, of …
3Location parameter — In statistics, a location family is a class of probability distributions parametrized by a scalar or vector valued parameter μ , which determines the location or shift of the distribution. Formally, this means that the probability density… …
4Destination Unknown (Mest album) — Destination Unknown Studio album by Mest Released October 30, 200 …
5Sufficient statistic — In statistics, a sufficient statistic is a statistic which has the property of sufficiency with respect to a statistical model and its associated unknown parameter, meaning that no other statistic which can be calculated from the same sample… …
6Maximum likelihood — In statistics, maximum likelihood estimation (MLE) is a method of estimating the parameters of a statistical model. When applied to a data set and given a statistical model, maximum likelihood estimation provides estimates for the model s… …
7Bayes 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… …
8Confidence distribution — This article is about the confidence distribution. For Confidence interval, see Confidence interval. In statistics, the concept of a confidence distribution (CD) has often been loosely referred to as a distribution function on the parameter space …
9Maximum spacing estimation — The maximum spacing method tries to find a distribution function such that the spacings, D(i), are all approximately of the same length. This is done by maximizing their geometric mean. In statistics, maximum spacing estimation (MSE or MSP), or… …
10Credible interval — Bayesian statistics Theory Bayesian probability Probability interpretations Bayes theorem Bayes rule · Bayes factor Bayesian inference Bayesian network Prior · Posterior · Likelihood …
