Characterization of Weighted Quantile Sum Regression for Highly Correlated Data in a Risk Analysis Setting

Title
Characterization of Weighted Quantile Sum Regression for Highly Correlated Data in a Risk Analysis Setting
Authors
Keywords
Correlation, Nonlinear model, WQS, Subset selection, Variable selection
Publisher
Springer Nature
Online
2014-12-24
DOI
10.1007/s13253-014-0180-3

Ask authors/readers for more resources

Reprint

Contact the author

Find the ideal target journal for your manuscript

Explore over 38,000 international journals covering a vast array of academic fields.

Search

Ask a Question. Answer a Question.

Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.

Get Started