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Nonparametric Confidence Interval for a Shift Parameter for Cauchy distribution

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Date
2005
Author
Odongo, L. O.
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Abstract
In this article an application of a kernel based nonparametric approach in constructing a large sample nonparametric confidence interval for a shift parameter is considered. The method is illustrated using the Cauchy distribution as a location model. The kernel-based method is found to have a shorter interval for the shift parameter between two Cauchy distributions than the one based on the Mann-Whitney test statistic.
URI
http://ir-library.ku.ac.ke/handle/123456789/9716
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  • RP-Department of Mathematics [81]

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