Comparison between Two-Sample Adaptive Tests and Traditional Tests in Location Problem
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064


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Research Paper | Statistics | India | Volume 5 Issue 10, October 2016 | Popularity: 6.3 / 10


     

Comparison between Two-Sample Adaptive Tests and Traditional Tests in Location Problem

Chikhla Jun Gogoi, Dr. Bipin Gogoi


Abstract: The present paper considers power comparison between two sample Adaptive tests and traditional non parametric tests in the field of location problem. In the proposed approach it is shown by Monte- Carlo simulation study, that the Adaptive tests are superior to the other existing competitors in terms of both robustness of size and power.


Keywords: Adaptive tests, Gastwirth test, Wilcoxon test, HFR test, long tailed test, t Test, Monte Carlo simulation


Edition: Volume 5 Issue 10, October 2016


Pages: 104 - 116



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Chikhla Jun Gogoi, Dr. Bipin Gogoi, "Comparison between Two-Sample Adaptive Tests and Traditional Tests in Location Problem", International Journal of Science and Research (IJSR), Volume 5 Issue 10, October 2016, pp. 104-116, https://www.ijsr.net/getabstract.php?paperid=ART20162024, DOI: https://www.doi.org/10.21275/ART20162024

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