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Considering error propagation in stepwise polynomial regression
Neima Brauner
*
, Mordechai Shacham
*
Corresponding author for this work
Engineering General
Ben-Gurion University of the Negev
Research output
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Contribution to journal
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Article
›
peer-review
7
Scopus citations
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Dive into the research topics of 'Considering error propagation in stepwise polynomial regression'. Together they form a unique fingerprint.
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Keyphrases
Explanatory Variables
100%
Polynomial Regression
100%
Error Propagation
100%
Regression Model
50%
Noise Ratio
50%
Polynomial Model
50%
Ratio Indicators
50%
Parameter Estimation
25%
Signal-to-noise Ratio
25%
Linear Combination
25%
Truncation
25%
Collinearity
25%
Stable Models
25%
Stepwise Regression Method
25%
Optimal Regression
25%
Stable Polynomial
25%
Integer Powers
25%
Regression Parameters
25%
Minimal Variance
25%
Mathematics
Polynomial Regression
100%
Explanatory Variable
100%
Noise Ratio
75%
Regression Model
50%
Optimal Model
50%
Polynomial Model
50%
Integer
25%
Variance
25%
Dependent Variable
25%
Linear Combination
25%
Truncation
25%
Parameter Estimate
25%
Collinearity
25%
Stepwise Regression
25%
stable model
25%
Regression Parameter
25%
Engineering
Noise Ratio
100%
Polynomial Model
100%
Parameter Estimate
50%
Signal-to-Noise Ratio
50%
Truncation
50%
Linear Combination
50%
Dependent Variable
50%
Measure Signal
50%
Earth and Planetary Sciences
Error Propagation
100%