Hua Ma, has concluded that, if vector space is having the following symmetry, orthogonality, homogeneity and completeness, it should have three dimensions having the energy obeys the law of conservation and the dynamics law is ruled by the
covariance principle and hence we can define the cross product in the space.
Data from partially repeated-measure designs (PRMD), or other structurally similar designs (e.g., split-plot and variations of the Latin square), are usually analyzed by using univariate analysis of variance (ANOVA) or multivariate analysis of variance (MANOVA), despite being highly sensitive to deviations from the multisample sphericity assumption (i.e., equality of
covariance matrices across groups and sphericity for the common
covariance matrix) when group sizes are not reasonably balanced.
In this work, focus is directed on the usage of
covariance matrices for trajectory categorization.
A suitable selection of process noise and measurement noise
covariance matrices is important in EKF estimation.
For the purpose of studying the carbon cycle of forests, there are hundreds of eddy
covariance stations worldwide to quantify the atmosphere-biosphere fluxes of C[O.sub.2] [2].
Information filtering, which is essentially a Kalman filter expressed in terms of the inverse of the
covariance matrix, has been widely used in multiple sensor estimation [10].
A time evolution of the dispersion of space pieces from a breakup event to the ground impact time is represented in terms of
covariance ellipsoids, and in this paper, two
covariance propagation methods are introduced.
For instance, it has to calculate the tedious
covariance matrix square root and reconstruct the
covariance matrix during the iteration of SLAM.
The Khalifa University of Science and Technology has announced that its state-of-the-art Masdar Institute Environmental Monitoring Platform (MIEMP) recently deployed at the Abu Dhabi Mangrove National Park, has become the first eddy
covariance station in the Arab world to join the Fluxnet network.
The aim of this study was (1) to define the random regression model that best fits the observed data of egg production of Barred Plymouth Rock and White Plymouth Rock hens between 5 and 12 months of age; (2) to test different structures of genotypic
covariance matrices (random effect matrix G) and residuals (R); and (3) to estimate broad-sense heritability, and environmental and genotypic correlations.
The difference of the
covariance method is that matrices in calculations aren't Teoplitz matrices.