Point Estimates and Confidence Intervals for Variable Importance in Multiple Linear Regression
D. Roland Thomas,
PengCheng Zhu and
Yves J. Decady
Journal of Educational and Behavioral Statistics, 2007, vol. 32, issue 1, 61-91
Abstract:
The topic of variable importance in linear regression is reviewed, and a measure first justified theoretically by Pratt (1987) is examined in detail. Asymptotic variance estimates are used to construct individual and simultaneous confidence intervals for these importance measures. A simulation study of their coverage properties is reported, and an example is provided.
Keywords: Keywords: relative importance; normalized Pratt measures; asymptotic variances; Bonferroni intervals; simultaneous confidence intervals (search for similar items in EconPapers)
Date: 2007
References: Add references at CitEc
Citations:
Downloads: (external link)
https://journals.sagepub.com/doi/10.3102/1076998606298037 (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:sae:jedbes:v:32:y:2007:i:1:p:61-91
DOI: 10.3102/1076998606298037
Access Statistics for this article
More articles in Journal of Educational and Behavioral Statistics
Bibliographic data for series maintained by SAGE Publications ().