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...

Full description

Bibliographic Details
Main Author: Midi, Habshah
Format: Article
Language:English
Published: Penerbit Universiti Kebangsaan Malaysia 2000
Online Access:http://psasir.upm.edu.my/id/eprint/22559/
http://psasir.upm.edu.my/id/eprint/22559/1/Heteroscedastic%20nonlinear%20regression%20by%20using%20Tanh%20psi%20function.pdf
_version_ 1848844517465128960
author Midi, Habshah
author_facet Midi, Habshah
author_sort Midi, Habshah
building UPM 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.
first_indexed 2025-11-15T08:32:11Z
format Article
id upm-22559
institution Universiti Putra Malaysia
institution_category Local University
language English
last_indexed 2025-11-15T08:32:11Z
publishDate 2000
publisher Penerbit Universiti Kebangsaan Malaysia
recordtype eprints
repository_type Digital Repository
spelling upm-225592016-02-02T04:09:51Z http://psasir.upm.edu.my/id/eprint/22559/ Heteroscedastic nonlinear regression by using Tanh psi function Midi, Habshah 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. Penerbit Universiti Kebangsaan Malaysia 2000 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/22559/1/Heteroscedastic%20nonlinear%20regression%20by%20using%20Tanh%20psi%20function.pdf Midi, Habshah (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
spellingShingle Midi, Habshah
Heteroscedastic nonlinear regression by using Tanh psi function
title 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_short Heteroscedastic nonlinear regression by using Tanh psi function
title_sort heteroscedastic nonlinear regression by using tanh psi function
url http://psasir.upm.edu.my/id/eprint/22559/
http://psasir.upm.edu.my/id/eprint/22559/
http://psasir.upm.edu.my/id/eprint/22559/1/Heteroscedastic%20nonlinear%20regression%20by%20using%20Tanh%20psi%20function.pdf