Heteroscedastic nonlinear regression by using Tanh Psi function

This article is concerned with the extension of heteroscedastic nonlinear regression estimation by using Tanh Psi function. The robustness properties of the Tanh's and Hampel's Weighted MM (WMM) estimators were investi­gated. In our simulation study, it has been shown that the biases and R...

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Main Author: Habshah Mid
Format: Article
Published: Universiti Kebangsaan Malaysia 2000
Online Access:http://journalarticle.ukm.my/3785/
http://journalarticle.ukm.my/3785/
id ukm-3785
recordtype eprints
spelling ukm-37852012-03-20T02:09:58Z http://journalarticle.ukm.my/3785/ Heteroscedastic nonlinear regression by using Tanh Psi function Habshah Mid, This article is concerned with the extension of heteroscedastic nonlinear regression estimation by using Tanh Psi function. The robustness properties of the Tanh's and Hampel's Weighted MM (WMM) estimators were investi­gated. In our simulation study, it has been shown that the biases and RMSE'S of the Hampel's estimates increase appreciably higher than the Tanh's estimates as the percentage of outliers increases. Hence, by utilising the Tanh's rho function in the WMM estimator, the accuracy and the efficiency of the estimates can be improved substantially. Universiti Kebangsaan Malaysia 2000 Article PeerReviewed Habshah Mid, (2000) Heteroscedastic nonlinear regression by using Tanh Psi function. Sains Malaysiana, 29 . pp. 103-118. ISSN 0126-6039 http://www.ukm.my/jsm/english_journals/vol29_2000/vol29_00page103-118.html
repository_type Digital Repository
institution_category Local University
institution Universiti Kebangasaan Malaysia
building UKM Institutional Repository
collection Online Access
description This article is concerned with the extension of heteroscedastic nonlinear regression estimation by using Tanh Psi function. The robustness properties of the Tanh's and Hampel's Weighted MM (WMM) estimators were investi­gated. In our simulation study, it has been shown that the biases and RMSE'S of the Hampel's estimates increase appreciably higher than the Tanh's estimates as the percentage of outliers increases. Hence, by utilising the Tanh's rho function in the WMM estimator, the accuracy and the efficiency of the estimates can be improved substantially.
format Article
author Habshah Mid,
spellingShingle Habshah Mid,
Heteroscedastic nonlinear regression by using Tanh Psi function
author_facet Habshah Mid,
author_sort Habshah Mid,
title Heteroscedastic nonlinear regression by using Tanh Psi function
title_short Heteroscedastic nonlinear regression by using Tanh Psi function
title_full Heteroscedastic nonlinear regression by using Tanh Psi function
title_fullStr Heteroscedastic nonlinear regression by using Tanh Psi function
title_full_unstemmed Heteroscedastic nonlinear regression by using Tanh Psi function
title_sort heteroscedastic nonlinear regression by using tanh psi function
publisher Universiti Kebangsaan Malaysia
publishDate 2000
url http://journalarticle.ukm.my/3785/
http://journalarticle.ukm.my/3785/
first_indexed 2023-09-18T19:39:47Z
last_indexed 2023-09-18T19:39:47Z
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