Abstract
In this paper, we first describe the precedence test for testing the hypothesis that two distribution functions are equal. We examine the power properties of this precedence test under a location shift between the two populations using Monte Carlo simulations, and compare them with those of Wilcoxon’s rank sum test. After noting that a ‘masking effect’ affects the performance of the precedence test, we next propose a maximal precedence test. We then examine the power properties of this maximal precedence test under a location shift, and compare them with those of the precedence test and Wilcoxon’s rank-sum test. Finally, we describe some possible extensions of the test procedures described here.
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© 2000 Springer Science+Business Media New York
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Balakrishnan, N., Frattina, R. (2000). Precedence Test and Maximal Precedence Test. In: Limnios, N., Nikulin, M. (eds) Recent Advances in Reliability Theory. Statistics for Industry and Technology. Birkhäuser, Boston, MA. https://doi.org/10.1007/978-1-4612-1384-0_23
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DOI: https://doi.org/10.1007/978-1-4612-1384-0_23
Publisher Name: Birkhäuser, Boston, MA
Print ISBN: 978-1-4612-7124-6
Online ISBN: 978-1-4612-1384-0
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