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Journal of Korean Society for Quality Management > Volume 24(2); 1996 > Article
Journal of Korean Society for Quality Management 1996;24(2): 77-.
A Bootstrap Test of Independence for an Absolutely Continuous Bivariate Exponential Model
ABSTRACT
In this paper, we consider the problem of testing independence in the absolutely continuous bivariate exponential distribution of Block and Basu(1974). We construct a bootstrap procedure for testing zero and non-zero values of the parameter ${lambda}_3$ which measures the degree of dependence and compare the power of the bootstrap test with likelihood ratio test(LRT) by Gupta et al.(1984) and the test based on maximum likelihood estimator(MLE) $hat{{lambda}}_3$ by Hanagal and Kale(1991) for small and moderate sample sizes.
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