Results 61 to 70 of about 296,448 (209)

The affine equivariant sign covariance matrix: asymptotic behavior and efficiencies. [PDF]

We consider the affine equivariant sign covariance matrix (SCM) introduced by Visuri et al. (J. Statist. Plann. Inference 91 (2000) 557). The population SCM is shown to be proportional to the inverse of the regular covariance matrix. The eigenvectors and
Croux, Christophe, Ollila, E, Oja, H
core  

Flame Detection Method In Video Using Covariance Descriptors [PDF]

, 2011
Video fire detection system which uses a spatio-temporal covariance matrix of video data is proposed. This system divides the video into spatio-temporal blocks and computes covariance features extracted from these blocks to detect fire.
Osman Gunay, A. Enis Cetin, Cetin, A. Enis, Habiboǧlu, Y.H., Habiboglu, Yusuf Hakan, Günay, Osman, Yusuf Hakan Habiboglu, Gunay, Osman   +7 more
core   +1 more source

Canonical correlation analysis based on robust covariance matrix by using deterministic of minimum covariance determinant

Partial Differential Equations in Applied Mathematics
Canonical correlation analysis (CCA) study the linear combinations between a two multivariate set of variable that have the maximum association among these two sets of variables. The main computation of the CCA is depend on the sample mean and covariance
Mufda Jameel Alrawashdeh, Sofian A.A. Saad, Abdelrahman Musa Ali Mohammed, Waad J.A. Alrawashdeh   +3 more
doaj   +1 more source

Inverse problems in covariate data analysis

Frontiers in Applied Mathematics and Statistics
The fact that Pearson's correlation coefficient and effect size are perspective functions of covariance parameters demonstrates that how covariance is defined is one of the most important issues in data analysis.
Stanley Luck
doaj   +1 more source

The Analysis of Very Small Samples of Repeated Measurements [PDF]

The statistical analysis of repeated measures or longitudinal data always requires the accommodation of the covariance structure of the repeated measurements at some stage in the analysis.
Skene, Simon Scott
core   +1 more source

The Performance Analysis Based on SAR Sample Covariance Matrix

Sensors, 2012
Multi-channel systems appear in several fields of application in science. In the Synthetic Aperture Radar (SAR) context, multi-channel systems may refer to different domains, as multi-polarization, multi-interferometric or multi-temporal data, or even a ...
Esra Erten
doaj   +1 more source

Unbiased covariance estimation with interpolated data [PDF]

We study covariance estimation when compelled to use evenly spaced data which have already been manipulated by previous-tick interpolation. We propose an un- biased covariance estimator, which is designed to correct for the two biases arising because of ...
Taro Kanatani, Roberto Reno'
core  

Sampled-data filtering with error covariance assignment [PDF]

, 2001
Copyright [2001] IEEE. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of Brunel University's products or services.
Huang, B, Wang, Z, Huo, P
core  

Application of student's t-test, analysis of variance, and covariance

Annals of Cardiac Anaesthesia, 2019
Student's t test (t test), analysis of variance (ANOVA), and analysis of covariance (ANCOVA) are statistical methods used in the testing of hypothesis for comparison of means between the groups.
Prabhaker Mishra, Uttam Singh, Chandra M Pandey, Priyadarshni Mishra, Gaurav Pandey   +4 more
doaj   +1 more source

Development and verification of covariance data generation module in NECP-Atlas

He jishu
BackgroundThe quantification of uncertainty has become a common requirement in reactor physics analysis whilst the covariance data of nuclear data serves as the foundational data for conducting uncertainty quantification.PurposeThis study aims to develop
HUANG Yihan, ZU Tiejun, CAO Liangzhi, WU Hongchun   +3 more
doaj   +1 more source