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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

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Abstract

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.

Item Type:Article
Keyword:bootstrap method, orthogonal regression, bootstrap confidence intervals
Publisher:Universiti Putra Malaysia Press
ID Code:3818
Deposited By: Nasirah Abu Samah
Deposited On:02 Dec 2009 08:53
Last Modified:27 May 2013 15:11

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