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The SROV program for data analysis and regression model identification
Mordechai Shacham
*
,
Neima Brauner
*
Corresponding author for this work
Engineering General
Ben-Gurion University of the Negev
Research output
:
Contribution to journal
›
Article
›
peer-review
44
Scopus citations
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Keyphrases
Regression Model
100%
Model Identification
100%
Data Analysis Model
100%
Explanatory Variables
50%
High Resilience
25%
Noise Level
25%
Correlation Degree
25%
Linear Combination
25%
Decomposition Method
25%
Program Use
25%
Experimental Error
25%
Stepwise Regression
25%
Nonlinear Function
25%
Numerical Error
25%
Error Propagation
25%
Size Mismatch
25%
Orthogonalization
25%
QR Decomposition
25%
Residual Information
25%
Mathematics
Regression Model
100%
Dependent Variable
50%
Explanatory Variable
50%
Optimal Model
50%
Linear Combination
25%
Residuals
25%
Nonlinear Function
25%
Stepwise Regression
25%
Regression Program
25%
Engineering
Dependent Variable
100%
Noise Level
50%
Linear Combination
50%
Nonlinear Function
50%
Orthogonalization
50%