scholarly journals Tokamak ITG-KBM transition benchmarking with the mixed variables/pullback transformation electromagnetic gyrokinetic scheme

2021 ◽  
Vol 28 (3) ◽  
pp. 034501
Author(s):  
M. D. J. Cole ◽  
A. Mishchenko ◽  
A. Bottino ◽  
C. S. Chang
Keyword(s):  
Mixed Variables

Minimum Distance Probability Discriminant Analysis for Mixed Variables

Biometrics ◽  
2003 ◽  
Vol 59 (2) ◽  
pp. 248-253 ◽  
Author(s):  
Marian Núñez ◽  
Angel Villarroya ◽  
José María Oller
Keyword(s):  
Discriminant Analysis ◽  
Minimum Distance ◽  
Mixed Variables

scholarly journals Mixed Variables-Attributes Test Plans for Single and Double Acceptance Sampling under Exponential Distribution

2011 ◽  
Vol 2011 ◽  
pp. 1-15 ◽  
Author(s):  
Yan Li ◽  
Xiaolong Pu ◽  
Dongdong Xiang
Keyword(s):  
Exponential Distribution ◽  
Operating Characteristic ◽  
Acceptance Sampling ◽  
Sample Sizes ◽  
Sample Number ◽  
Sampling Plans ◽  
Average Sample Number ◽  
Mixed Variables ◽  
Average Sample

The mixed variables-attributes test plans for single acceptance sampling are proposed to protect “good lots” from attributes aspect and to optimize sample sizes from variables aspect. For the single and double mixed plans, exact formulas of the operating characteristic and average sample number are developed for the exponential distribution. Numerical illustrations show that the mixed sampling plans have some advantages over the variables plans or attributes plans alone.

scholarly journals Stable graphical model estimation with Random Forests for discrete, continuous, and mixed variables

2013 ◽  
Vol 64 ◽  
pp. 132-152 ◽  
Author(s):  
Bernd Fellinghauer ◽  
Peter Bühlmann ◽  
Martin Ryffel ◽  
Michael von Rhein ◽  
Jan D. Reinhardt
Keyword(s):  
Random Forests ◽  
Graphical Model ◽  
Model Estimation ◽  
Mixed Variables
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