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