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Hodges Lehmann estimator for robust design using Dual Response Surface Approach


Citation

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

Abstract

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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Official URL or Download Paper: http://www.ajbasweb.com/old/ajbas_August_2010.html

Additional Metadata

Item Type: Article
Divisions: Faculty of Science
Publisher: American-Eurasian Network for Scientific Information
Keywords: Robust design; Taguchi method; Dual response; Hodges-Lehmann estimator; Expected bias
Depositing User: Najwani Amir Sariffudin
Date Deposited: 08 Nov 2013 07:43
Last Modified: 24 Sep 2018 06:54
URI: http://psasir.upm.edu.my/id/eprint/15023
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