TY - JFULL AU - Al Jefferson J. Pabelic and Dennis A. Tarepe PY - 2012/3/ TI - A Bootstrap's Reliability Measure on Tests of Hypotheses T2 - International Journal of Mathematical and Computational Sciences SP - 124 EP - 130 VL - 6 SN - 1307-6892 UR - https://publications.waset.org/pdf/8234 PU - World Academy of Science, Engineering and Technology NX - Open Science Index 62, 2012 N2 - Bootstrapping has gained popularity in different tests of hypotheses as an alternative in using asymptotic distribution if one is not sure of the distribution of the test statistic under a null hypothesis. This method, in general, has two variants – the parametric and the nonparametric approaches. However, issues on reliability of this method always arise in many applications. This paper addresses the issue on reliability by establishing a reliability measure in terms of quantiles with respect to asymptotic distribution, when this is approximately correct. The test of hypotheses used is Ftest. The simulated results show that using nonparametric bootstrapping in F-test gives better reliability than parametric bootstrapping with relatively higher degrees of freedom. ER -