- estimator of location
- т. вер. оценка положения центра распределения
Большой англо-русский и русско-английский словарь. 2001.
estimator of location
Смотреть что такое "estimator of location" в других словарях:
Location estimation in sensor networks — Location estimation in wireless sensor networks is the problem of estimating the location of an object from a set of noisy measurements, when the measurements are acquired in a distributedmanner by a set of sensors.MotivationIn many civilian and… … Wikipedia
Location 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… … 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
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
James-Stein estimator — The James Stein estimator is a nonlinear estimator which can be shown to dominate, or outperform, the ordinary (least squares) technique. As such, it is the best known example of Stein s phenomenon.An earlier version of the estimator was… … Wikipedia
M-estimator — In statistics, M estimators are a broad class of statistics which are obtained as the solution to the problem of minimizing certain functions of the data. The process of obtaining an M estimator is called M estimation.Some authors define M… … Wikipedia
Consistent 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.… … Wikipedia
Hodges-Lehmann estimator — The Hodges Lehmann estimator is a statistical method for robust estimation.The principal form of this estimator is used to give an estimate of the difference between the values in two sets of data. If the two sets of data contain m and n data… … Wikipedia
L-estimator — In robust statistics, an L estimator is an estimator which equals a linear combination of order statistics of the measurements.Consider, for example, the median. Given n measurements x 1, ldots, x n, where n is odd, the median equals x… … 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
Delaunay tessellation field estimator — The reconstruction of a density field from a discrete set of points sampling this field. The Delaunay tessellation field estimator (DTFE) is a mathematical tool for reconstructing a volume covering and continuous density or intensity field from a … Wikipedia
