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On Bootstrap Methods in Orthogonal Regression Model


Abdullah, Mokhtar (1995) On Bootstrap Methods in Orthogonal Regression Model. Pertanika Journal of Science & Technology, 3 (2). pp. 349-359. ISSN 0128-7680


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.

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Additional Metadata

Item Type: Article
Publisher: Universiti Putra Malaysia Press
Keywords: bootstrap method, orthogonal regression, bootstrap confidence intervals
Depositing User: Nasirah Abu Samah
Date Deposited: 02 Dec 2009 00:53
Last Modified: 27 May 2013 07:11
URI: http://psasir.upm.edu.my/id/eprint/3818
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