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A Maximum Modulus Test with Unequal Variances.

Authors :
Bristol, David R.
Stouffer, Nicole
Source :
Communications in Statistics: Theory & Methods. Oct2004, Vol. 33 Issue 10, p2333-2342. 10p.
Publication Year :
2004

Abstract

The maximum modulus test(RE) for simultaneously comparing the means of normal distributions to a known constant is usually presented with the assumption of equal variances. A competing procedure(RI) for use when the unknown variances are not assumed to be equal is presented. Results of simulations are presented to examine various aspects of these procedures, such as comparisons of overall type I error rate and power when the variances are equal and consequences of using RE when the variances are not equal. Both procedures control the overall type I error rate if the variances are equal; however, if the variances are not equal, RI controls the overall type I error rate, but P(type I error) > α using RE for a nominalα-level test. If the variances are equal, the power is higher for RE, but the differences are usually small. If the variances are not equal, the power is usually higher for RE than for RI, but this is associated with the inflated type I error rate. Thus, it is recommended that RI be routinely preferred over RE. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
03610926
Volume :
33
Issue :
10
Database :
Academic Search Index
Journal :
Communications in Statistics: Theory & Methods
Publication Type :
Academic Journal
Accession number :
15123743
Full Text :
https://doi.org/10.1081/STA-200031356