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Many of the existing parametric and nonparametric tests for homogeneity of variances, and some variations of these tests, are examined in this paper. Comparisons are made under the null hypothesis (for robustness) and under the alternative (for power). Monte Carlo simulations of various symmetric and asymmetric distributions, for various sample sizes, reveal a few tests that are robust and have good power. These tests are further compared using data from outer continental shelf bidding on oil and gas leases.
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W. J. Conover
Texas Tech University
M. Johnson
University of Central Florida
Myrle M. Johnson
Los Alamos National Laboratory
Technometrics
Los Alamos National Laboratory
Texas Tech University
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Conover et al. (Sun,) studied this question.
synapsesocial.com/papers/69dd0c27ceb896e1a0e52ddb — DOI: https://doi.org/10.1080/00401706.1981.10487680