Date of Award:
5-1988
Document Type:
Thesis
Degree Name:
Master of Science (MS)
Department:
Mathematics and Statistics
Department name when degree awarded
Applied Statistics
Committee Chair(s)
David L. Turner
Committee
Donald V. Sisson
Committee
Robert Campbell
Abstract
This paper discusses results of a computer simulation to investigate several different tests when sampling several distributions. The hypothesis H0: μ=0 was tested against H0: μ≠0, using the usual t-test, trimmed t-test, the Jackkinfe, the Boostrap and signed-rank test. The p-values and empirical power show that the Bootstrap is as good as the t-test. The Jackknife procedure is too liberal, always obtaining small p-values. The signed-rank is a fairly good test if the data follows the Cauchy Distribution.
Checksum
cd47897862f039bb5b3356b252b7b7a0
Recommended Citation
Wong, Yu-Yu, "Comparison of Bootstrap with Other Tests for Several Distributions" (1988). All Graduate Theses and Dissertations. 6995.
https://digitalcommons.usu.edu/etd/6995
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