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...
Saved in:
| Main Author: | |
|---|---|
| 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/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | 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. |
|---|