Some improvements in confidence intervals for standardized regression coefficients
From MaRDI portal
Publication:1695735
DOI10.1007/s11336-017-9563-zzbMath1402.62149OpenAlexW2597353595WikidataQ38746280 ScholiaQ38746280MaRDI QIDQ1695735
Publication date: 8 February 2018
Published in: Psychometrika (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s11336-017-9563-z
Estimation in multivariate analysis (62H12) Linear regression; mixed models (62J05) Applications of statistics to psychology (62P15)
Uses Software
Cites Work
- Unnamed Item
- A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity
- Asymptotic inference under heteroskedasticity of unknown form
- A new heteroskedasticity-consistent covariance matrix estimator for the linear regression model
- Biases and standard errors of standardized regression coefficients
- The normal-theory and asymptotic distribution-free (ADF) covariance matrix of standardized regression coefficients: theoretical extensions and finite sample behavior
- Correlation weights in multiple regression
- Simulating multivariate nonnormal distributions
- Bootstrap methods for standard errors, confidence intervals, and other measures of statistical accuracy. With a comment by J. A. Hartigan and a rejoinder by the authors
- Fast fifth-order polynomial transforms for generating univariate and multivariate nonnormal distributions.
- Investigating the performance of alternate regression weights by studying all possible criteria in regression models with a fixed set of predictors
- A Tale of Two Regressions
- Bootstrap‐corrected ADF test statistics in covariance structure analysis
- Asymptotically distribution‐free methods for the analysis of covariance structures
- Inference Under Heteroskedasticity and Leveraged Data
- The $\chi^2$ Test of Goodness of Fit
- Maximum Likelihood Estimation of Misspecified Models
This page was built for publication: Some improvements in confidence intervals for standardized regression coefficients