VISTRAFS: A Simulation Method for Strongly Interacting Viscous Transonic Flow

1990 ◽  
pp. 37-51 ◽  
Author(s):  
A. E. P. Veldman ◽  
J. P. F. Lindhout ◽  
E. de Boer ◽  
M. A. M. Somers
Keyword(s):  
Transonic Flow ◽  
Simulation Method ◽  
Strongly Interacting

scholarly journals A Finite-Difference Simulation Method for Strongly Interacting Two-Layer Flow

1988 ◽  
Vol 1988 (163) ◽  
pp. 1-16 ◽  
Author(s):  
Hideaki Miyata ◽  
Masato Katsumata ◽  
Young-Gill Lee ◽  
Hisashi Kajitani
Keyword(s):  
Finite Difference ◽  
Simulation Method ◽  
Strongly Interacting ◽  
Layer Flow

Series Expansion Methods for Strongly Interacting Lattice Models

2006 ◽  
Author(s):  
Jaan Oitmaa ◽  
Chris Hamer ◽  
Weihong Zheng
Keyword(s):  
Series Expansion ◽  
Lattice Models ◽  
Strongly Interacting

Power of Modified Brown-Forsythe and Mixed-Model Approaches in Split-Plot Designs

Methodology ◽  
2017 ◽  
Vol 13 (1) ◽  
pp. 9-22 ◽  
Author(s):  
Pablo Livacic-Rojas ◽  
Guillermo Vallejo ◽  
Paula Fernández ◽  
Ellián Tuero-Herrero
Keyword(s):  
Repeated Measures ◽  
Statistical Power ◽  
Mixed Model ◽  
Covariance Structure ◽  
Simulation Method ◽  
Future Research ◽  
Repeated Measures Design ◽  
Fixed And Random Effects ◽  
Split Plot ◽  
High Level

Abstract. Low precision of the inferences of data analyzed with univariate or multivariate models of the Analysis of Variance (ANOVA) in repeated-measures design is associated to the absence of normality distribution of data, nonspherical covariance structures and free variation of the variance and covariance, the lack of knowledge of the error structure underlying the data, and the wrong choice of covariance structure from different selectors. In this study, levels of statistical power presented the Modified Brown Forsythe (MBF) and two procedures with the Mixed-Model Approaches (the Akaike’s Criterion, the Correctly Identified Model [CIM]) are compared. The data were analyzed using Monte Carlo simulation method with the statistical package SAS 9.2, a split-plot design, and considering six manipulated variables. The results show that the procedures exhibit high statistical power levels for within and interactional effects, and moderate and low levels for the between-groups effects under the different conditions analyzed. For the latter, only the Modified Brown Forsythe shows high level of power mainly for groups with 30 cases and Unstructured (UN) and Autoregressive Heterogeneity (ARH) matrices. For this reason, we recommend using this procedure since it exhibits higher levels of power for all effects and does not require a matrix type that underlies the structure of the data. Future research needs to be done in order to compare the power with corrected selectors using single-level and multilevel designs for fixed and random effects.

Electric Field Computation with Improved Charge Simulation Method Considering Volume and Surface Resistivities

2011 ◽  
Vol 131 (8) ◽  
pp. 717-718 ◽  
Author(s):  
Hiroyuki Iwabuchi ◽  
Taiki Donen ◽  
Akiko Kumada ◽  
Kunihiko Hidaka
Keyword(s):  
Electric Field ◽  
Simulation Method ◽  
Charge Simulation Method ◽  
Field Computation

New Simplified Low Cost Simulation Method for SME Manufacturing System

2015 ◽  
Vol 9 (2) ◽  
pp. 206
Author(s):  
Tawfik Benabdallah ◽  
Nor Nait Sadi ◽  
Mustapha Kamel Abdi
Keyword(s):  
Manufacturing System ◽  
Low Cost ◽  
Simulation Method ◽  
Cost Simulation

TRANSONIC FLOW OVER A DOUBLE-WEDGED AIRFOIL

2014 ◽  
Vol 4 (1-4) ◽  
Author(s):  
Vyacheslav Antonovich Bashkin ◽  
Ivan V. Egorov
Keyword(s):  
Transonic Flow
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