- information estimator
- мат.информационная оценка
English-Russian scientific dictionary. 2008.
information estimator
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Information geometry — In mathematics and especially in statistical inference, information geometry is the study of probability and information by way of differential geometry. It reached maturity through the work of Shun ichi Amari in the 1980s, with what is currently … Wikipedia
Bayes 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… … Wikipedia
Retirement Estimator — The Retirement Estimator is an online tool available on the official government website of the Social Security Administration at http://www.socialsecurity.gov/estimator.The Retirement Estimator is an immediate and personalized financial planning… … Wikipedia
Channel state information — In wireless communications, channel state information (CSI) refers to known channel properties of a communication link. This information describes how a signal propagates from the transmitter to the receiver and represents the combined effect of … Wikipedia
Invariant 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… … Wikipedia
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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
Kaplan–Meier estimator — The Kaplan–Meier estimator,[1][2] also known as the product limit estimator, is an estimator for estimating the survival function from life time data. In medical research, it is often used to measure the fraction of patients living for a certain… … Wikipedia
Observed information — In statistics, the observed information, or observed Fisher information, is the negative of the second derivative (the Hessian matrix) of the log likelihood (the logarithm of the likelihood function). It is a sample based version of the Fisher… … 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
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
