Results 91 to 100 of about 4,500,411 (350)
The information matrix test with bootstrap-based covariance matrix estimation. [PDF]
We propose an information matrix test in which the covariance matrix of the vector of indicators is estimated using the parametric bootstrap. Monte Carlo results and heuristic arguments show that its small sample performance is comparable with that of ...
Hoorelbeke, Dirk, Dhaene, Geert
core +2 more sources
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt +8 more
wiley +1 more source
Perturbative approach to covariance matrix of the matter power spectrum [PDF]
Author(s): Mohammed, I; Seljak, U; Vlah, Z | Abstract: © 2016 The Authors. We evaluate the covariance matrix of the matter power spectrum using perturbation theory up to dominant terms at 1-loop order and compare it to numerical simulations.We decompose ...
Irshad Mohammed, U. Seljak, Z. Vlah
semanticscholar +1 more source
CT‐based finite element simulations combined with in situ X‐ray computed tomography are used to analyze insert pull‐out in nickel‐coated polymer foams. Despite variations in material parameters, deformation consistently concentrates within a narrow annular region around the insert.
Yannik Bautz +4 more
wiley +1 more source
The estimation of the large and high-dimensional covariance matrix and precision matrix is a fundamental problem in modern multivariate analysis. It has been widely applied in economics, finance, biology, social networks and health sciences. However, the
Xin Yuan +3 more
doaj +1 more source
Purity and Covariance Matrix [PDF]
Basing on the simplest single-mode field source, we investigate the role of the various covariance matrices for reconstructing the field state and describing its quantum statistical properties. In spite of the fact that the intracavity field is a single-mode field, we take into account the natural multimode structure arising in the field, when it ...
Golubeva, T., Golubev, Yu.
openaire +2 more sources
Performance analysis of beamformers using generalized loading of the covariance matrix in the presence of random steering vector errors [PDF]
Robust adaptive beamforming is a key issue in array applications where there exist uncertainties about the steering vector of interest. Diagonal loading is one of the most popular techniques to improve robustness.
Besson, Olivier, Vincent, François
core +1 more source
Operando Tracking of Oxygen‐Vacancy Dynamics and Negative Capacitance in Ca‐Doped BiFeO3
Operando electrochemical impedance spectroscopy, combined with electrocoloration, enables a direct correlation between real‐space ionic redistribution and the corresponding frequency‐domain electrical response. In lateral Ca‐doped BiFeO3 devices, time‐resolved impedance snapshots capture the evolution from bulk‐dominated mixed conduction to an ...
Jeonghun Suh +3 more
wiley +1 more source
Multivariate time series classification using kernel matrix
Multivariate time series (MTS) classification is a fundamental problem in time series mining, and the approach based on covariance matrix is an attractive way to solve the classification. In this study, it is noted that a traditional covariance matrix is
Jiancheng Sun +4 more
doaj +1 more source
On the Covariance of the Community Matrix [PDF]
A clarification of the meaning of the covariance of the community matrix is presented along with calculating equations for both the mean species covariance and the covariance of the row and column means. A brief discussion of α selection and its determination of the covariance is given, followed by table for determining the expected number of species ...
openaire +2 more sources

