Calculating the Relative Importance of Multiple Regression Predictor Variables Using Dominance Analysis and Random Forests-Reference-Cited by-同舟云学术

Calculating the Relative Importance of Multiple Regression Predictor Variables Using Dominance Analysis and Random Forests

Published:2022-08-31 Issue:1 Volume:73 Page:161-196
ISSN:0023-8333
Container-title:Language Learning
language:en
Short-container-title:Language Learning

Author:

Mizumoto Atsushi¹^ORCID

Affiliation:

1. Kansai University

Publisher

Wiley

Subject

Linguistics and Language,Language and Linguistics,Education

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/lang.12518

Reference57 articles.

1. The accuracy of dominance analysis as a metric to assess relative importance: The joint impact of sampling error variance and measurement unreliability.

2. Canty A. &Ripley B.(2021).boot: Bootstrap R (S‐PLUS) functions. R package(Version 1.3‐28) [Computer software]. Retrieved fromhttps://CRAN.R‐project.org/package=boot

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