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Research Paper | Statistics | India | Volume 5 Issue 6, June 2016
Paired Sample Adaptive Tests and Other Competitors in Location Problem
Chikhla Jun Gogoi [3] | Dr. Bipin Gogoi [3]
Abstract: One of the more common statistical tests of significance is the test for paired data. Paired data can be obtained from experimental units when measurements are obtained before and after the administration of a treatment. In this paper, comparison is made between adaptive tests, non parametric wilcoxon test and traditional paired sample t test. For comparison of power, Monte Carlo simulation method is used here. The new adaptive procedure is shown to preserve the size of the test at its nominal level for all continuous distributions. This research work finally comes to the conclusion that in case of normal distribution traditional t test is more powerful than the others. Whereas in case of long tailed or skewed distribution the adaptive tests are more powerful.
Keywords: adaptive tests, wilcoxon tests, score function, monte-carlo simulation
Edition: Volume 5 Issue 6, June 2016,
Pages: 2021 - 2025
Similar Articles with Keyword 'adaptive tests'
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Research Paper, Statistics, India, Volume 6 Issue 3, March 2017
Pages: 143 - 153Comparison of Power between Adaptive Tests and Other Tests in the Field of Two Sample Scale Problem
Chikhla Jun Gogoi [3] | Dr. Bipin Gogoi [3]
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Research Paper, Statistics, India, Volume 5 Issue 10, October 2016
Pages: 104 - 116Comparison between Two-Sample Adaptive Tests and Traditional Tests in Location Problem
Chikhla Jun Gogoi [3] | Dr. Bipin Gogoi [3]