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An inferential model-based method for testing homogeneity of several variances against tree-ordered alternatives.

Authors :
Kong, Jingsen
Jin, Hua
Lu, Hezhi
Lin, Jiaying
Jin, Katherine
Source :
International Journal of Approximate Reasoning. Jan2023, Vol. 152, p344-354. 11p.
Publication Year :
2023

Abstract

Comparing several normal variances with a control group is very important in many fields. In this paper, we propose a new inferential model-based test for the homogeneity of several variances against tree-ordered alternatives. Simulation studies demonstrate that our new solution provides a competitive alternative to existing methods. Furthermore, our IM test is the only one that works in scenarios where the sample sizes are unequal. A real numerical example is presented to illustrate the flexibility of the proposed method. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
0888613X
Volume :
152
Database :
Academic Search Index
Journal :
International Journal of Approximate Reasoning
Publication Type :
Periodical
Accession number :
160541282
Full Text :
https://doi.org/10.1016/j.ijar.2022.11.006