- error covariance matrix
- 误差协方差矩阵
Atmospheric Sciences (English-Chinese) dictionary. 2014.
error covariance matrix
Look at other dictionaries:
Covariance — This article is about the measure of linear relation between random variables. For other uses, see Covariance (disambiguation). In probability theory and statistics, covariance is a measure of how much two variables change together. Variance is a … Wikipedia
Estimation of covariance matrices — In statistics, sometimes the covariance matrix of a multivariate random variable is not known but has to be estimated. Estimation of covariance matrices then deals with the question of how to approximate the actual covariance matrix on the basis… … Wikipedia
Sample mean and sample covariance — are statistics computed from a collection of data, thought of as being random.ample mean and covarianceGiven a random sample extstyle mathbf{x} {1},ldots,mathbf{x} {N} from an extstyle n dimensional random variable extstyle mathbf{X} (i.e.,… … Wikipedia
Hat matrix — In statistics, the hat matrix, H, maps the vector of observed values to the vector of fitted values. It describes the influence each observed value has on each fitted value.[1] The diagonal elements of the hat matrix are the leverages, which… … Wikipedia
Minimum mean square error — In statistics and signal processing, a minimum mean square error (MMSE) estimator describes the approach which minimizes the mean square error (MSE), which is a common measure of estimator quality. The term MMSE specifically refers to estimation… … Wikipedia
Kalman filter — Roles of the variables in the Kalman filter. (Larger image here) In statistics, the Kalman filter is a mathematical method named after Rudolf E. Kálmán. Its purpose is to use measurements observed over time, containing noise (random variations)… … Wikipedia
Ensemble Kalman filter — The ensemble Kalman filter (EnKF) is a recursive filter suitable for problems with a large number of variables, such as discretizations of partial differential equations in geophysical models. The EnKF originated as a version of the Kalman filter … 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
Fast Kalman filter — The fast Kalman filter (FKF), devised by Antti Lange (1941 ), is an extension of the Helmert Wolf blockingfn|1 (HWB) method from geodesy to real time applications of Kalman filtering (KF) such as satellite imaging of the Earth. Kalman filters are … Wikipedia
Principal component analysis — PCA of a multivariate Gaussian distribution centered at (1,3) with a standard deviation of 3 in roughly the (0.878, 0.478) direction and of 1 in the orthogonal direction. The vectors shown are the eigenvectors of the covariance matrix scaled by… … Wikipedia
Principal components analysis — Principal component analysis (PCA) is a vector space transform often used to reduce multidimensional data sets to lower dimensions for analysis. Depending on the field of application, it is also named the discrete Karhunen Loève transform (KLT),… … Wikipedia
