JMASM algorithms and code algorithm for combining robust and bootstrap in multiple linear model regression (SAS)
The aim of bootstrapping is to approximate the sampling distribution of some estimator. An algorithm for combining method is given in SAS, along with applications and visualizations.
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| Main Authors: | , , , , , |
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| Format: | Non-Indexed Article |
| Published: |
JMASM Inc.
2016
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| Online Access: | http://discol.umk.edu.my/id/eprint/8421/ http://digitalcommons.wayne.edu/jmasm/vol15/iss1/46/ |
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| _version_ | 1831512583670071296 |
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| author | Wan Muhamad Amir Mohamad Shafiq Hanafi A. Rahim Puspa Liza Ghazali Azlida Aleng Abdullah, Z. |
| author_facet | Wan Muhamad Amir Mohamad Shafiq Hanafi A. Rahim Puspa Liza Ghazali Azlida Aleng Abdullah, Z. |
| author_sort | Wan Muhamad Amir |
| building | Perpustakaan Universiti Malaysia Kelantan |
| collection | Institutional Repository |
| content_provider | Universiti Malaysia Kelantan |
| content_source | UMK Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | The aim of bootstrapping is to approximate the sampling distribution of some estimator.
An algorithm for combining method is given in SAS, along with applications and
visualizations. |
| format | Non-Indexed Article |
| id | my.umk.eprints.8421 |
| institution | Universiti Malaysia Kelantan |
| publishDate | 2016 |
| publisher | JMASM Inc. |
| record_format | eprints |
| spelling | my.umk.eprints.84212022-05-23T10:27:24Z http://discol.umk.edu.my/id/eprint/8421/ JMASM algorithms and code algorithm for combining robust and bootstrap in multiple linear model regression (SAS) Wan Muhamad Amir Mohamad Shafiq Hanafi A. Rahim Puspa Liza Ghazali Azlida Aleng Abdullah, Z. The aim of bootstrapping is to approximate the sampling distribution of some estimator. An algorithm for combining method is given in SAS, along with applications and visualizations. JMASM Inc. 2016-05 Non-Indexed Article NonPeerReviewed Wan Muhamad Amir and Mohamad Shafiq and Hanafi A. Rahim and Puspa Liza Ghazali and Azlida Aleng and Abdullah, Z. (2016) JMASM algorithms and code algorithm for combining robust and bootstrap in multiple linear model regression (SAS). Journal of Modern Applied Statistical Methods, 15 (1). pp. 884-892. ISSN 1538 − 9472 http://digitalcommons.wayne.edu/jmasm/vol15/iss1/46/ |
| spellingShingle | Wan Muhamad Amir Mohamad Shafiq Hanafi A. Rahim Puspa Liza Ghazali Azlida Aleng Abdullah, Z. JMASM algorithms and code algorithm for combining robust and bootstrap in multiple linear model regression (SAS) |
| title | JMASM algorithms and code
algorithm for combining robust and
bootstrap in multiple linear model
regression (SAS) |
| title_full | JMASM algorithms and code
algorithm for combining robust and
bootstrap in multiple linear model
regression (SAS) |
| title_fullStr | JMASM algorithms and code
algorithm for combining robust and
bootstrap in multiple linear model
regression (SAS) |
| title_full_unstemmed | JMASM algorithms and code
algorithm for combining robust and
bootstrap in multiple linear model
regression (SAS) |
| title_short | JMASM algorithms and code
algorithm for combining robust and
bootstrap in multiple linear model
regression (SAS) |
| title_sort | jmasm algorithms and code
algorithm for combining robust and
bootstrap in multiple linear model
regression (sas) |
| url | http://discol.umk.edu.my/id/eprint/8421/ http://digitalcommons.wayne.edu/jmasm/vol15/iss1/46/ |
| url_provider | http://discol.umk.edu.my/ |