Results 11 to 20 of about 296,448 (209)

Covariance-Based Uncertainty Analysis of Reference Equations of State [PDF]

, 2020
This work presents a detailed methodology for uncertainty analysis applied to a reference equation of states (EOSs) based on Helmholtz energy. With increasing interest in uncertainties of thermal process models, it is important to quantify the property ...
Shengwei Wang (5689142), Jens Abildskov (1409680), Gürkan Sin (1434667), Howard Cheung (8232219), Jérôme Frutiger (1434673), Ian H. Bell (1307499)   +5 more
core   +5 more sources

Covariates in linkage analysis [PDF]

Genetic Epidemiology, 1999
AbstractWe apply a novel technique to detect significant covariates in linkage analysis using a logistic regression approach. An overall test of linkage is first performed to determine whether there is significant perturbation from the expected 50% sharing under the hypothesis of no linkage; if the overall test is significant, the importance of the ...
J P, Rice, N, Rochberg, R J, Neuman, N L, Saccone, K Y, Liu, X, Zhang, R, Culverhouse   +6 more
openaire   +2 more sources

LATOR covariance analysis [PDF]

Classical and Quantum Gravity, 2005
We present results from a covariance study for the proposed Laser Astrometric Test of Relativity (LATOR) mission. This mission would send two laser-transmitter spacecraft behind the Sun and measure the relative gravitational light bending of their signals using a hundred-meter-baseline optical interferometer to be constructed on the International Space
Plowman, Joseph E., Hellings, Ronald W.
openaire   +2 more sources

Single-Frame Attitude Determination Methods for Nanosatellites

Metrology and Measurement Systems, 2017
Single-frame methods of determining the attitude of a nanosatellite are compared in this study. The methods selected for comparison are: Single Value Decomposition (SVD), q method, Quaternion ESTimator (QUEST), Fast Optimal Attitude Matrix (FOAM) − all ...
Guler Demet Cilden, Conguroglu Ece S., Hajiyev Chingiz   +2 more
doaj   +1 more source

Wavelet analysis of covariance with application to atmospheric time series [PDF]

, 2000
Multiscale analysis of univariate time series has appeared in the literature at an ever increasing rate. Here we introduce the multiscale analysis of covariance between two time series using the discrete wavelet transform.
Whitcher, Brandon, Guttorp, P., Percival, D.B.   +2 more
core   +1 more source

A New Filtering and Smoothing Algorithm for Railway Track Surveying Based on Landmark and IMU/Odometer

Sensors, 2017
High-accuracy railway track surveying is essential for railway construction and maintenance. The traditional approaches based on total station equipment are not efficient enough since high precision surveying frequently needs static measurements.
Qingan Jiang, Wenqi Wu, Mingming Jiang, Yun Li   +3 more
doaj   +1 more source

Efficient Methods of Utilizing Multi-SBAS Corrections in Multi-GNSS Positioning

Sensors, 2020
Various combining methods have been proposed to utilize multi-satellite-based augmentation system (SBAS) correction to provide accurate position in the global navigation satellite system (GNSS) receiver.
Kwi Woo Park, Jong-Il Park, Chansik Park   +2 more
doaj   +1 more source

Covariance matrix estimation with heterogeneous samples [PDF]

, 2008
We consider the problem of estimating the covariance matrix Mp of an observation vector, using heterogeneous training samples, i.e., samples whose covariance matrices are not exactly Mp.
Bidon, Stéphanie, Besson, Olivier, Tourneret, Jean-Yves   +2 more
core   +1 more source

The Combination of DAT-SPECT, Structural and Diffusion MRI Predicts Clinical Progression in Parkinson’s Disease

Frontiers in Aging Neuroscience, 2019
There is an increasing interest in identifying non-invasive biomarkers of disease severity and prognosis in idiopathic Parkinson’s disease (PD). Dopamine-transporter SPECT (DAT-SPECT), diffusion tensor imaging (DTI), and structural magnetic resonance ...
Sara Lorio, Sara Lorio, Sara Lorio, Fabio Sambataro, Fabio Sambataro, Alessandro Bertolino, Alessandro Bertolino, Bogdan Draganski, Bogdan Draganski, Juergen Dukart, Juergen Dukart, Juergen Dukart   +11 more
doaj   +1 more source

BCCT: A GUI Toolkit for Brain Structural Covariance Connectivity Analysis on MATLAB

Frontiers in Human Neuroscience, 2021
Brain structural covariance network (SCN) can delineate the brain synchronized alterations in a long-range time period. It has been used in the research of cognition or neuropsychiatric disorders.
Qiang Xu, Qiang Xu, Qirui Zhang, Gaoping Liu, Xi-jian Dai, Xi-jian Dai, Xinyu Xie, Jingru Hao, Qianqian Yu, Ruoting Liu, Zixuan Zhang, Yulu Ye, Rongfeng Qi, Long Jiang Zhang, Zhiqiang Zhang, Zhiqiang Zhang, Guangming Lu, Guangming Lu, Guangming Lu   +18 more
doaj   +1 more source