Please use this identifier to cite or link to this item:
http://repository.futminna.edu.ng:8080/jspui/handle/123456789/6812| Title: | Bootstrap Non-linear Regression Application In A Design Of An Experiment Data For Fewer Sample Size |
| Authors: | Bello, Adeshina Oyedele Bamiduro, T.A. Chuwkwu, U. A. Osowole, O. I |
| Keywords: | Bootstrap non-linear regression, Gauss Newton Bootstrap Re-Sampling Method; R programming language and SAS Sample size; Data visualization (EDA) |
| Issue Date: | Feb-2015 |
| Publisher: | International Journal of Research (IJR) |
| Citation: | 5 |
| Series/Report no.: | 2(2);1425-1441 |
| Abstract: | This paper reports on the application of the bootstrap nonlinear regression method to a design of an experiment dataset with fewer experimental runs. Design with desired properties was augmented and verified using graphical techniques. The augmented design with the desired properties benefited the accuracy of the approximated function used. The computation power of R-language and SAS for computing nonlinear function and bootstrap was also compared |
| URI: | http://repository.futminna.edu.ng:8080/jspui/handle/123456789/6812 |
| ISSN: | ISSN:2348-6848 |
| Appears in Collections: | Statistics |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 1509.05555.pdf | 633.05 kB | Adobe PDF | View/Open |
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