Approximate Confidence Intervals for Estimates of Redundancy Between Sets of Variables
Bibliographic Data
| ID | 19291382 |
|---|---|
| Authors | Zarrel V Lambert, Albert R Wildt, Richard M Durand |
| Year | 1989 |
| Volume | 24 |
| Issue | 3 |
| Pages | 307-333 |
| Publication date | 1989-07-01 |
| Open Access | No |
| Type | ARTICLE |
| Venue | Multivariate Behavioral Research (JOURNAL) |
| Journal identifiers | ISSN: 0027-3171 • E-ISSN: 1532-7906 |
| Publisher | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1207/s15327906mbr2403_3 |
| PMID | 26750500 |
| OpenAlex | W2030120379 |
| Language | EN |
| Citations received | 1 |
| References cited | 42 |
Use of redundancy analysis would be enhanced by having available a procedure that (a) evaluates the statistical significance of the estimated proportion of variance in the criterion variable set extracted by a given predictor variate, Ry i (2), as well as by all predictor variates combined, R(y 2), and (b) is lenient with respect to assumptions about the distributions of redundancy estimates. A previous testing method leaves in doubt the assessment of redundancy attributed individually to each predictor variate, and it requires parametric assumptions about the distributions of the estimators. This paper describes and demonstrates the bootstrap methodology which yields approximations of the sampling variation of redundancy estimates while assuming little a priori knowledge about the distributions of these statistics. The procedure is applicable for evaluating the estimated proportions of criterion set variance explained solely by a given predictor variate and cumulatively by all predictor variates
Confidence interval · Control variates · Estimator · Monte Carlo method · Parametric statistics · Random variable · Random variate · Redundancy (engineering) · Statistics · Variance (accounting) · Variance reduction · Advanced Statistical Methods and Models · Computer Science · Mathematics · Statistical Methods and Bayesian Inference · Statistical Methods and Inference
Computer-Intensive Methods in Statistics
Bootstrap Methods for Standard Errors, Confidence Intervals, and Other Measures of Statistical Accuracy
Bootstrap Methods
Correcting for Bias in the Canonical Redundancy Statistic
Bootstrapping an Econometric Model
The Sampling Distribution and a Test for the Significance of the Bimultivariate Redundancy Statistic
External Single-Set Components Analysis Of Multiple Criterion/Multiple Predictor Variables
Efron's Bootstrap with Application to the Repeated Measures Design
Bootstrap confidence intervals
Estimating correlation coefficients
Estimating the correlation coefficient
Bootstrap Type I error rates for the correlation coefficient
Bootstrap confidence intervals
Redundancy analysis
| Citations per year | 0.03 |
|---|---|
| Citation span | 1991 - 1991 (1) |
| Highly cited | No |