Analytic models for hypervelocity particle shield analysis

1994 ◽  
Author(s):  
R. Jeffery Lawrence
Keyword(s):  
Analytic Models

scholarly journals Analytic models for interdiffusion in dense plasma mixtures

2021 ◽  
Vol 28 (7) ◽  
pp. 072302
Author(s):  
Lucas J. Stanek ◽  
Michael S. Murillo
Keyword(s):  
Dense Plasma ◽  
Analytic Models

MERLIN: a device diagnosis system based on analytic models

1993 ◽  
Vol 6 (4) ◽  
pp. 306-317 ◽  
Author(s):  
G. Freeman ◽  
W. Lukaszek ◽  
Y.Y.C. Pan
Keyword(s):  
Diagnosis System ◽  
Analytic Models

scholarly journals Methods for estimating uncertainty in factor analytic solutions

2014 ◽  
Vol 7 (3) ◽  
pp. 781-797 ◽  
Author(s):  
P. Paatero ◽  
S. Eberly ◽  
S. G. Brown ◽  
G. A. Norris
Keyword(s):  
Environmental Protection Agency ◽  
Synthetic Data ◽  
Analytic Solutions ◽  
Data Sets ◽  
Random Errors ◽  
Data Set ◽  
Factor Analytic ◽  
Uncertainty Estimates ◽  
Multilinear Engine ◽  
Analytic Models

Abstract. The EPA PMF (Environmental Protection Agency positive matrix factorization) version 5.0 and the underlying multilinear engine-executable ME-2 contain three methods for estimating uncertainty in factor analytic models: classical bootstrap (BS), displacement of factor elements (DISP), and bootstrap enhanced by displacement of factor elements (BS-DISP). The goal of these methods is to capture the uncertainty of PMF analyses due to random errors and rotational ambiguity. It is shown that the three methods complement each other: depending on characteristics of the data set, one method may provide better results than the other two. Results are presented using synthetic data sets, including interpretation of diagnostics, and recommendations are given for parameters to report when documenting uncertainty estimates from EPA PMF or ME-2 applications.

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