Assessment of SPM in Perfusion Brain SPECT Studies. A Numerical Simulation Study Using Bootstrap Resampling Methods

2008 ◽  
Vol 55 (7) ◽  
pp. 1849-1853 ◽  
Author(s):  
D. Pareto ◽  
P. Aguiar ◽  
J. Pavia ◽  
J.D. Gispert ◽  
A. Cot ◽  
...  
Keyword(s):  
Numerical Simulation ◽  
Simulation Study ◽  
Brain Spect ◽  
Bootstrap Resampling ◽  
Resampling Methods

scholarly journals Comparison of Parameter Estimator Efficiency Levels of Path Analysis with Bootstrap and Jack Knife (Delete-5) Resampling Methods on Simulation Data

2020 ◽  
Vol 16 (3) ◽  
pp. 353
Author(s):  
Adji Fernandes
Keyword(s):  
Path Analysis ◽  
Simulation Study ◽  
Bootstrap Resampling ◽  
Parameter Estimator ◽  
Simulation Data ◽  
Resampling Methods ◽  
Simulation Results ◽  
The Relationship

In practice, the assumptions of normality are often not met, this causes the estimation of the resulting parameters to be less efficient. Problems with the assumption that normality is not met can be overcome by resampling. The use of resampling allows data to be applied free from distribution assumptions. In this study, a simulation study was carried out by applying bootstrap resampling and jackknife resampling (delete-5) on path analysis assuming that the normality of the alignment was not met and the resampling amount set at 1000 with the degree of closeness between variables consisting of low closeness, medium closeness, high closeness and closeness level representing the level low to high closeness. Based on the simulation results, the resampling 1000 magnitude is able to overcome the problem of the assumptions of unmet normality. In addition, a comparison between bootstrap and jackknife resampling for conditions of side normality assumptions is not fulfilled and the closeness of the relationship between low, medium, high and closeness variables representing low to high closeness levels, the estimation results of path analysis parameters obtained by resampling jackknife are more efficient than resampling bootstrap.

NUMERICAL SIMULATION STUDY ON BIONIC MUCUS DRAG REDUCTION OF UNDERWATER VEHICLE

2020 ◽  
Vol 47 (4) ◽  
pp. 371-385
Author(s):  
Kaisheng Zhang ◽  
Chaofan Ma ◽  
Baocheng Zhang ◽  
Bo Zhao ◽  
Qiang Wang
Keyword(s):  
Numerical Simulation ◽  
Drag Reduction ◽  
Simulation Study ◽  
Underwater Vehicle

scholarly journals Numerical simulation study of uniform steam injection method for SAGD horizontal wells

2021 ◽  
Vol 692 (4) ◽  
pp. 042002
Author(s):  
Yanyu Zhang ◽  
Xiangyu Wang ◽  
Xiaofei Sun ◽  
Hangfei Gong ◽  
Yunshi Zhang
Keyword(s):  
Numerical Simulation ◽  
Simulation Study ◽  
Horizontal Wells ◽  
Steam Injection ◽  
Injection Method

Numerical simulation study for efficiency enhancement of doubly graded perovskite solar cell

2021 ◽  
Vol 118 ◽  
pp. 111285
Author(s):  
Sagar Bhattarai ◽  
Arvind Sharma ◽  
Deboraj Muchahary ◽  
Dipankar Gogoi ◽  
T.D. Das
Keyword(s):  
Numerical Simulation ◽  
Solar Cell ◽  
Simulation Study ◽  
Perovskite Solar Cell ◽  
Efficiency Enhancement
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