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S1 statistic with Hodges-Lehmann in two groups case for skewed distribution

This study is focused on the modification of S1 statistic, a procedure for testing the equality of groups, by replacing median with Hodges-Lehmann estimator as the location measure in two groups case under skewed distribution.The modification is also extended to the default scale estimator of Hodges...

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Main Authors: Yin, Lee Ping, Syed Yahaya, Sharipah Soaad, Ahad, Nor Aishah
Format: Conference or Workshop Item
Published: 2015
Subjects:
QA Mathematics
Online Access:http://repo.uum.edu.my/18468/
http://doi.org/10.1063/1.4937101
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spelling my.uum.repo.184682016-08-08T03:32:02Z http://repo.uum.edu.my/18468/ S1 statistic with Hodges-Lehmann in two groups case for skewed distribution Yin, Lee Ping Syed Yahaya, Sharipah Soaad Ahad, Nor Aishah QA Mathematics This study is focused on the modification of S1 statistic, a procedure for testing the equality of groups, by replacing median with Hodges-Lehmann estimator as the location measure in two groups case under skewed distribution.The modification is also extended to the default scale estimator of Hodges-Lehmann, S1(HL) and robust scale estimator, MADn, S1(MADn). The purpose of the modifications is to improve the robustness of the statistic.To test the strengths and weaknesses of S1(HL) and S1(MADn), a simulation study was conducted.Several variables such as the shape of distributions, balanced and unbalanced group sizes, equal and unequal variances and nature of pairings were manipulated to create various conditions for the data.Since the distribution of S1 statistic is unknown, bootstrap method was used for data generation.According to Guo and Luh, a test statistic is considered robust if its empirical error rate does not exceed 0.075 when α = 0.05. Refer to the results obtained, S1(HL) and S1(MADn) can be considered as robust due to all error rates fall below 0.075 for balanced and unbalanced design in each distribution. t-test and Mann-Whitney are the chosen methods for comparison purpose. For balanced design, t-test and Mann-Whitney shown better results compare to S1(HL) and S1(MADn). However, for unbalanced design especially in negative pairing, S1(MADn) is the most appropriate method to be used across three distributions. 2015 Conference or Workshop Item PeerReviewed Yin, Lee Ping and Syed Yahaya, Sharipah Soaad and Ahad, Nor Aishah (2015) S1 statistic with Hodges-Lehmann in two groups case for skewed distribution. In: 2nd Innovation and Analytics Conference & Exhibition (IACE 2015), 29 September –1 October 2015, TH Hotel, Alor Setar, Kedah, Malaysia. http://doi.org/10.1063/1.4937101 doi:10.1063/1.4937101
institution Universiti Utara Malaysia
building UUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Utara Malaysia
content_source UUM Institutionali Repository
url_provider http://repo.uum.edu.my/
topic QA Mathematics
spellingShingle QA Mathematics
Yin, Lee Ping
Syed Yahaya, Sharipah Soaad
Ahad, Nor Aishah
S1 statistic with Hodges-Lehmann in two groups case for skewed distribution
description This study is focused on the modification of S1 statistic, a procedure for testing the equality of groups, by replacing median with Hodges-Lehmann estimator as the location measure in two groups case under skewed distribution.The modification is also extended to the default scale estimator of Hodges-Lehmann, S1(HL) and robust scale estimator, MADn, S1(MADn). The purpose of the modifications is to improve the robustness of the statistic.To test the strengths and weaknesses of S1(HL) and S1(MADn), a simulation study was conducted.Several variables such as the shape of distributions, balanced and unbalanced group sizes, equal and unequal variances and nature of pairings were manipulated to create various conditions for the data.Since the distribution of S1 statistic is unknown, bootstrap method was used for data generation.According to Guo and Luh, a test statistic is considered robust if its empirical error rate does not exceed 0.075 when α = 0.05. Refer to the results obtained, S1(HL) and S1(MADn) can be considered as robust due to all error rates fall below 0.075 for balanced and unbalanced design in each distribution. t-test and Mann-Whitney are the chosen methods for comparison purpose. For balanced design, t-test and Mann-Whitney shown better results compare to S1(HL) and S1(MADn). However, for unbalanced design especially in negative pairing, S1(MADn) is the most appropriate method to be used across three distributions.
format Conference or Workshop Item
author Yin, Lee Ping
Syed Yahaya, Sharipah Soaad
Ahad, Nor Aishah
author_facet Yin, Lee Ping
Syed Yahaya, Sharipah Soaad
Ahad, Nor Aishah
author_sort Yin, Lee Ping
title S1 statistic with Hodges-Lehmann in two groups case for skewed distribution
title_short S1 statistic with Hodges-Lehmann in two groups case for skewed distribution
title_full S1 statistic with Hodges-Lehmann in two groups case for skewed distribution
title_fullStr S1 statistic with Hodges-Lehmann in two groups case for skewed distribution
title_full_unstemmed S1 statistic with Hodges-Lehmann in two groups case for skewed distribution
title_sort s1 statistic with hodges-lehmann in two groups case for skewed distribution
publishDate 2015
url http://repo.uum.edu.my/18468/
http://doi.org/10.1063/1.4937101
_version_ 1644282462418763776
score 13.211869

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