Hodges Lehmann estimator for robust design using Dual Response Surface Approach

In this paper, we proposed the usage of the robust Hodges Lehmann estimator (HLE) as a location measure in the construction of optimal designs using the Dual Response Surface Approach (DRSA) where the location and scale measures were incorporated simultaneously into the model. The performance of si...

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Main Authors: Majid, Amani, Haron, Kassim, Midi, Habshah
Format: Article
Language:English
Published: American-Eurasian Network for Scientific Information 2010
Online Access:http://psasir.upm.edu.my/id/eprint/15023/
http://psasir.upm.edu.my/id/eprint/15023/1/Hodges%20Lehmann%20estimator%20for%20robust%20design%20using%20Dual%20Response%20Surface%20Approach.pdf
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author Majid, Amani
Haron, Kassim
Midi, Habshah
author_facet Majid, Amani
Haron, Kassim
Midi, Habshah
author_sort Majid, Amani
building UPM Institutional Repository
collection Online Access
description In this paper, we proposed the usage of the robust Hodges Lehmann estimator (HLE) as a location measure in the construction of optimal designs using the Dual Response Surface Approach (DRSA) where the location and scale measures were incorporated simultaneously into the model. The performance of six models with different pairs of location and scale estimators were compared. The results from a simulation study showed that for the non-normal and normal distribution with contaminated data, the model using HLE and inter-quartile range (IQR) performed better than the pair of the sample median and IQR as achieved by Park and Cho (2002).
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publisher American-Eurasian Network for Scientific Information
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spelling upm-150232018-09-24T06:54:16Z http://psasir.upm.edu.my/id/eprint/15023/ Hodges Lehmann estimator for robust design using Dual Response Surface Approach Majid, Amani Haron, Kassim Midi, Habshah In this paper, we proposed the usage of the robust Hodges Lehmann estimator (HLE) as a location measure in the construction of optimal designs using the Dual Response Surface Approach (DRSA) where the location and scale measures were incorporated simultaneously into the model. The performance of six models with different pairs of location and scale estimators were compared. The results from a simulation study showed that for the non-normal and normal distribution with contaminated data, the model using HLE and inter-quartile range (IQR) performed better than the pair of the sample median and IQR as achieved by Park and Cho (2002). American-Eurasian Network for Scientific Information 2010 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/15023/1/Hodges%20Lehmann%20estimator%20for%20robust%20design%20using%20Dual%20Response%20Surface%20Approach.pdf Majid, Amani and Haron, Kassim and Midi, Habshah (2010) Hodges Lehmann estimator for robust design using Dual Response Surface Approach. Australian Journal of Basic and Applied Sciences, 4 (8). pp. 3418-3423. ISSN 1991-8178 http://www.ajbasweb.com/old/ajbas_August_2010.html
spellingShingle Majid, Amani
Haron, Kassim
Midi, Habshah
Hodges Lehmann estimator for robust design using Dual Response Surface Approach
title Hodges Lehmann estimator for robust design using Dual Response Surface Approach
title_full Hodges Lehmann estimator for robust design using Dual Response Surface Approach
title_fullStr Hodges Lehmann estimator for robust design using Dual Response Surface Approach
title_full_unstemmed Hodges Lehmann estimator for robust design using Dual Response Surface Approach
title_short Hodges Lehmann estimator for robust design using Dual Response Surface Approach
title_sort hodges lehmann estimator for robust design using dual response surface approach
url http://psasir.upm.edu.my/id/eprint/15023/
http://psasir.upm.edu.my/id/eprint/15023/
http://psasir.upm.edu.my/id/eprint/15023/1/Hodges%20Lehmann%20estimator%20for%20robust%20design%20using%20Dual%20Response%20Surface%20Approach.pdf