- Cramer Rao lower bound
- нижняя граница неравенства Крамера-Рао
Авиасловарь. М.А.Левин. 2004.
Авиасловарь. М.А.Левин. 2004.
Cramér–Rao bound — In estimation theory and statistics, the Cramér–Rao bound (CRB) or Cramér–Rao lower bound (CRLB), named in honor of Harald Cramér and Calyampudi Radhakrishna Rao who were among the first to derive it,[1][2][3] expresses a lower bound on the… … Wikipedia
Chapman–Robbins bound — In statistics, the Chapman–Robbins bound or Hammersley–Chapman–Robbins bound is a lower bound on the variance of estimators of a deterministic parameter. It is a generalization of the Cramér–Rao bound; compared to the Cramér–Rao bound, it is both … Wikipedia
Estimation theory — is a branch of statistics and signal processing that deals with estimating the values of parameters based on measured/empirical data. The parameters describe an underlying physical setting in such a way that the value of the parameters affects… … Wikipedia
Maximum 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… … Wikipedia
Karl-Dirk Kammeyer — (* 10. Oktober 1944 in Ahlhorn) ist ein deutscher Forscher im Bereich der Nachrichtentechnik und der Digitalen Signalverarbeitung. Er ist gegenwärtig Professor am Institut für Telekommunikation und Hochfrequenztechnik im Arbeitsbereich… … Deutsch Wikipedia
Estimator — 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… … Wikipedia
List of statistics topics — Please add any Wikipedia articles related to statistics that are not already on this list.The Related changes link in the margin of this page (below search) leads to a list of the most recent changes to the articles listed below. To see the most… … Wikipedia
Inequalities in information theory — Inequalities are very important in the study of information theory. There are a number of different contexts in which these inequalities appear.hannon type inequalitiesConsider a finite collection of finitely (or at most countably) supported… … Wikipedia
Moshe Zakai — Born 26 December 1926(1926 12 26) Sokółka, Poland … Wikipedia
Fisher information — In statistics and information theory, the Fisher information (denoted mathcal{I}( heta)) is the variance of the score. It is named in honor of its inventor, the statistician R.A. Fisher.DefinitionThe Fisher information is a way of measuring the… … Wikipedia