Computing Reviews
Today's Issue Hot Topics Search Browse Recommended My Account Log In
Review Help
Search
Sample-based estimation of correlation ratio with polynomial approximation
Lewandowski D., Cooke R., Tebbens R. ACM Transactions on Modeling and Computer Simulation18 (1):1-17,2007.Type:Article
Date Reviewed: Feb 21 2008

Although relatively formulaic, this paper is flawless in its simplicity and elegance. After the obligatory introduction examining the importance of sensitivity measures and past techniques for evaluating them, the authors discuss global sensitivity measures and proceed to focus on the correlation ratio. They then discuss the accepted methods for estimating the correlation ratio (such as the Bayesian approach and polynomial approximation methods). However, the authors stress the value of determining the correlation ratio using the early stopping method.

As I said before, the paper is crystal clear in its presentation and elegance. It also contains an extensive reference section. Although certainly not required, I would have liked to see more discussion of the important ethical issues.

Reviewer:  James Van Speybroeck Review #: CR135281 (0812-1207)
Bookmark and Share
  Reviewer Selected
Featured Reviewer
 
 
Correlation And Regression Analysis (G.3 ... )
 
 
Least Squares Methods (G.1.6 ... )
 
Would you recommend this review?
yes
no
Other reviews under "Correlation And Regression Analysis": Date
Strong convergence of estimators in nonlinear autoregressive models
Liebscher E. Journal of Multivariate Analysis 84(2): 247-261, 2003. Type: Article
Aug 27 2003
Statistical inference
Rohatgi V., Dover Publications, Incorporated, 2003.  948, Type: Book (9780486428123)
Jan 23 2004
Using GMDH for modeling economical indices of mine opening
Sarycheva L. Systems Analysis Modelling Simulation 43(10): 1341-1349, 2003. Type: Article
Mar 2 2004
more...

E-Mail This Printer-Friendly
Send Your Comments
Contact Us
Reproduction in whole or in part without permission is prohibited.   Copyright 1999-2024 ThinkLoud®
Terms of Use
| Privacy Policy