Back to Search
Start Over
Improved methods for making inferences about multiple skipped correlations.
- Source :
-
Journal of Statistical Computation & Simulation . Nov2018, Vol. 88 Issue 16, p3116-3131. 16p. - Publication Year :
- 2018
-
Abstract
- A skipped correlation has the advantage of dealing with outliers in a manner that takes into account the overall structure of the data cloud. For p-variate data, p ≥ 2, there is an extant method for testing the hypothesis of a zero correlation for each pair of variables that is designed to control the probability of one or more Type I errors. And there are methods for the related situation where the focus is on the association between a dependent variable and p explanatory variables. However, there are limitations and several concerns with extant techniques. The paper describes alternative approaches that deal with these issues. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 00949655
- Volume :
- 88
- Issue :
- 16
- Database :
- Academic Search Index
- Journal :
- Journal of Statistical Computation & Simulation
- Publication Type :
- Academic Journal
- Accession number :
- 132051808
- Full Text :
- https://doi.org/10.1080/00949655.2018.1501051