Monte Carlo Analysis of Measurement Uncertainties for On-Wafer Multiline TRL Calibration Including Dynamic Accuracy

2020 ◽  
Vol 69 (11) ◽  
pp. 8874-8880
Author(s):  
Peng Luan ◽  
Yibang Wang ◽  
Wei Zhao ◽  
Chen Liu ◽  
Faguo Liang ◽  
...  
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Analysis ◽  
Dynamic Accuracy ◽  
Measurement Uncertainties

Calibrating Dual-Directional Couplers and Evaluating Uncertainties in Net Power Delivery

2013 ◽  
Vol 718-720 ◽  
pp. 1446-1450
Author(s):  
Jin Yuan Li ◽  
Ming Xie
Keyword(s):  
Monte Carlo ◽  
Measurement Uncertainty ◽  
Monte Carlo Analysis ◽  
Measured Data ◽  
Power Delivery ◽  
Complete Model ◽  
Directional Couplers ◽  
Measurement Uncertainties ◽  
Field Systems

Dual-directional couplers are used to monitor net power fed into transmitting antennas in standard-field systems at NIM, China. It is essential to calibrate the coupler and evaluate the measurement uncertainty in the net power in such applications. The method we use at NIM to calibrate couplers are presented in this paper, and a complete model that takes into account the measurement uncertainties of couplers and horns to evaluate uncertainties in net power delivery is proposed. A case study is also provided of power delivery by a coupler with the nominal directivity of 40 dB using the Monte Carlo analysis based on the complete model and actual measured data.

Generation of Correlated Logistic-Normal Random Variates for Medical Decision Trees

1998 ◽  
Vol 37 (03) ◽  
pp. 235-238 ◽  
Author(s):  
M. El-Taha ◽  
D. E. Clark
Keyword(s):  
Monte Carlo ◽  
Decision Trees ◽  
Computer Algebra ◽  
Taylor Series ◽  
Computer Algebra System ◽  
Random Variable ◽  
Monte Carlo Analysis ◽  
Normal Random Variable ◽  
Medical Decision ◽  
Theoretical Results

AbstractA Logistic-Normal random variable (Y) is obtained from a Normal random variable (X) by the relation Y = (ex)/(1 + ex). In Monte-Carlo analysis of decision trees, Logistic-Normal random variates may be used to model the branching probabilities. In some cases, the probabilities to be modeled may not be independent, and a method for generating correlated Logistic-Normal random variates would be useful. A technique for generating correlated Normal random variates has been previously described. Using Taylor Series approximations and the algebraic definitions of variance and covariance, we describe methods for estimating the means, variances, and covariances of Normal random variates which, after translation using the above formula, will result in Logistic-Normal random variates having approximately the desired means, variances, and covariances. Multiple simulations of the method using the Mathematica computer algebra system show satisfactory agreement with the theoretical results.

Monte Carlo Analysis of Nonequilibrium Ionized Flows.

1996 ◽  
Author(s):  
Iain D. Boyd ◽  
Xiaoming Liu ◽  
Jitendra Balakrishnan
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Analysis
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