Skip to main content

Research Repository

Advanced Search

Test statistics for the comparison of means for two samples that include both paired and independent observations

Derrick, Ben; Russ, Bethan; Toher, Deirdre; White, Paul

Test statistics for the comparison of means for two samples that include both paired and independent observations Thumbnail


Authors

Bethan Russ

Paul White Paul.White@uwe.ac.uk
Professor in Applied Statistics



Abstract

©2017 JMASM, Inc. Standard approaches for analyzing the difference in two means, where partially overlapping samples are present, are less than desirable. Here are introduced two test statistics, making reference to the t-distribution. It is shown that these test statistics are Type I error robust, and more powerful than standard tests.

Citation

Derrick, B., Russ, B., Toher, D., & White, P. (2017). Test statistics for the comparison of means for two samples that include both paired and independent observations. Journal of modern applied statistical methods : JMASM, 16(1), 137-157. https://doi.org/10.22237/jmasm/1493597280

Journal Article Type Article
Acceptance Date Dec 22, 2016
Online Publication Date Jun 2, 2017
Publication Date Jun 2, 2017
Deposit Date Jan 25, 2017
Publicly Available Date Mar 29, 2024
Journal Journal of Modern Applied Statistical Methods
Print ISSN 1538-9472
Peer Reviewed Peer Reviewed
Volume 16
Issue 1
Pages 137-157
DOI https://doi.org/10.22237/jmasm/1493597280
Keywords statistics, t-test, partially overlapping
Public URL https://uwe-repository.worktribe.com/output/886845
Publisher URL http://dx.doi.org/10.22237/jmasm/1493597280
Additional Information Additional Information : Material in this article is copyrighted and initially published by JMASM," Derrick, B., Russ, B., Toher, D. and White, P. (2017) Test statistics for the comparison of means for two samples which include both paired observations and independent observations. Journal of Modern Applied Statistical Methods, 16 (1). pp. 137-157. ISSN 1538-9472 [In Press] Available from: http://eprints.uwe.ac.uk/30815

Files




You might also like



Downloadable Citations