Results 41 to 50 of about 22,359,362 (203)
Linear covariance analysis for autonomous space rendezvous missions
, 2023 reservedThis thesis presents the development process of a mission analysis tool using Linear Covariance Analysis applied to space rendezvous missions. The work has been conducted in the company Thales Alenia Space.
BATTAGLIA, GIACOMO
core
High-Dimensional Quadratic Discriminant Analysis Under Spiked Covariance Model
IEEE Access, 2020 Quadratic discriminant analysis (QDA) is a widely used classification technique that generalizes the linear discriminant analysis (LDA) classifier to the case of distinct covariance matrices among classes.
Houssem Sifaou +2 more
doaj +1 more source
Analysis of Covariance with Qualitative Data [PDF]
The Review of Economic Studies, 1980 This paper deals with data that has a group structure. A simple example in the context of a linear regression model is E(yitlx, 1S, ar) = P'xit + ai (i = 1, ...,9 N; t = 1, ... T), where there are T observations within each of N groups. The ai are group specific parameters.
openaire +1 more source
Analysis of covariance and standardization as instances of prediction
, 1982 In this paper, prediction provides the basis for unifying the procedures of covariance adjustment and standardization. Analysis of covariance is a method of forming predictions from a linear model; it is used when qualitative effects are to be studied ...
Nelder, J. A., Lane, P. W.
core +1 more source
Analysis of a Rigid-Body Pose Estimator for Relative Spacecraft Navigation
AerospaceThis study presents a rigorous error analysis of a previously published estimator that determines the single-frame relative pose of two rigid bodies from batches of point and unit vector measurements.
Caitong Peng, Daniel Choukroun
doaj +1 more source
Knowledge-Aided Structured Covariance Matrix Estimator Applied for Radar Sensor Signal Detection
Sensors, 2019 This study deals with the problem of covariance matrix estimation for radar sensor signal detection applications with insufficient secondary data in non-Gaussian clutter. According to the Euclidean mean, the authors combined an available prior covariance
Naixin Kang, Zheran Shang, Qinglei Du
doaj +1 more source
Nonparametric estimation of covariance functions by model selection [PDF]
, 2009 We propose a model selection approach for covariance estimation of a stochastic process. Under very general assumptions, observing i.i.d replications of the process at fixed observation points, we construct an estimator of the covariance function by ...
Muniz Alvarez, Lilian +9 more
core +1 more source
Numerical Covariance Evaluation for Linear Structures Subject to Non-Stationary Random Inputs
ComputationRandom vibration analysis is a mathematical tool that offers great advantages in predicting the mechanical response of structural systems subjected to external dynamic loads whose nature is intrinsically stochastic, as in cases of sea waves, wind ...
M. Domaneschi +5 more
doaj +1 more source
An anisotropic formulation of the parametric Kalman filter assimilation
Tellus: Series A, Dynamic Meteorology and Oceanography, 2021 In geophysics, the direct application of covariance matrix dynamics described by the Kalman filter (KF) is limited by the high dimension of such problems. The parametric Kalman filter (PKF) is a recent alternative to the ensemble Kalman filter, where the
Olivier Pannekoucke
doaj +1 more source
General covariance from the perspective of Noether's theorems [PDF]
, 2002 Analysis of Emmy Noether's 1918 theorems provides an illuminating method for testing the consequences of coordinate generality, and for exploring what else must be added to this requirement in order to give general covariance its far-reaching physical ...
Brading, Katherine +2 more
core