On Bootstrap Methods in Orthogonal Regression Model

This paper discusses the nonparametric bootstrap method for evaluating the standard errors of the parameter estimates of orthogonal regression. The percentile, bias-corrected, the bias-corrected and accelerated (BCA) , and the calibrated or iterated BCA method were considered for confidence inter...

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Main Author: Abdullah, Mokhtar
Format: Article
Language:English
English
Published: Universiti Putra Malaysia Press 1995
Online Access:http://psasir.upm.edu.my/id/eprint/3818/1/On_Bootstrap_Methods_in_Orthogonal.pdf
http://psasir.upm.edu.my/id/eprint/3818/
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Institution: Universiti Putra Malaysia
Language: English
English
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spelling my.upm.eprints.38182013-05-27T07:11:30Z http://psasir.upm.edu.my/id/eprint/3818/ On Bootstrap Methods in Orthogonal Regression Model Abdullah, Mokhtar This paper discusses the nonparametric bootstrap method for evaluating the standard errors of the parameter estimates of orthogonal regression. The percentile, bias-corrected, the bias-corrected and accelerated (BCA) , and the calibrated or iterated BCA method were considered for confidence intervals for the parameters of the model. Based on simulation studies, it was found that the iterated BCA method produced a more reliable confidence interval than the other methods. Universiti Putra Malaysia Press 1995 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/3818/1/On_Bootstrap_Methods_in_Orthogonal.pdf Abdullah, Mokhtar (1995) On Bootstrap Methods in Orthogonal Regression Model. Pertanika Journal of Science & Technology, 3 (2). pp. 349-359. ISSN 0128-7680 English
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
English
description This paper discusses the nonparametric bootstrap method for evaluating the standard errors of the parameter estimates of orthogonal regression. The percentile, bias-corrected, the bias-corrected and accelerated (BCA) , and the calibrated or iterated BCA method were considered for confidence intervals for the parameters of the model. Based on simulation studies, it was found that the iterated BCA method produced a more reliable confidence interval than the other methods.
format Article
author Abdullah, Mokhtar
spellingShingle Abdullah, Mokhtar
On Bootstrap Methods in Orthogonal Regression Model
author_facet Abdullah, Mokhtar
author_sort Abdullah, Mokhtar
title On Bootstrap Methods in Orthogonal Regression Model
title_short On Bootstrap Methods in Orthogonal Regression Model
title_full On Bootstrap Methods in Orthogonal Regression Model
title_fullStr On Bootstrap Methods in Orthogonal Regression Model
title_full_unstemmed On Bootstrap Methods in Orthogonal Regression Model
title_sort on bootstrap methods in orthogonal regression model
publisher Universiti Putra Malaysia Press
publishDate 1995
url http://psasir.upm.edu.my/id/eprint/3818/1/On_Bootstrap_Methods_in_Orthogonal.pdf
http://psasir.upm.edu.my/id/eprint/3818/
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