A Comparison between Normal and Non-Normal Data in Bootstrap
In the area of statistics, bootstrapping is a general modern approach to resampling methods. Bootstrapping is a way of estimating an estimator such as a variance when sampling from a certain distribution. The approximating distribution is based on the observed data. A set of observations is a popula...
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| Format: | Article |
| Language: | English |
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HIKARI LTD
2012
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| Online Access: | http://eprints.utem.edu.my/id/eprint/3613/ http://eprints.utem.edu.my/id/eprint/3613/1/ahmadAMS89-92-2012_published.pdf |
| _version_ | 1848886955241111552 |
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| author | Asmala, A. |
| author_facet | Asmala, A. |
| author_sort | Asmala, A. |
| building | UTeM Institutional Repository |
| collection | Online Access |
| description | In the area of statistics, bootstrapping is a general modern approach to resampling methods. Bootstrapping is a way of estimating an estimator such as a variance when sampling from a certain distribution. The approximating distribution is based on the observed data. A set of observations is a population of independent and observed data identically distributed by resampling; the set is random with replacement equal in size to that of the observed data. The study starts with an introduction to bootstrap and its procedure and resampling. In this study, we look at the basic usage of bootstrap in statistics by employing R. The study discusses the bootstrap mean and median. Then there will follow a discussion of the comparison between normal and non-normal data in bootstrap. The study ends with a discussion and presents the advantages and disadvantages of bootstraps. |
| first_indexed | 2025-11-15T19:46:43Z |
| format | Article |
| id | utem-3613 |
| institution | Universiti Teknikal Malaysia Melaka |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T19:46:43Z |
| publishDate | 2012 |
| publisher | HIKARI LTD |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | utem-36132021-10-01T12:25:21Z http://eprints.utem.edu.my/id/eprint/3613/ A Comparison between Normal and Non-Normal Data in Bootstrap Asmala, A. QA Mathematics In the area of statistics, bootstrapping is a general modern approach to resampling methods. Bootstrapping is a way of estimating an estimator such as a variance when sampling from a certain distribution. The approximating distribution is based on the observed data. A set of observations is a population of independent and observed data identically distributed by resampling; the set is random with replacement equal in size to that of the observed data. The study starts with an introduction to bootstrap and its procedure and resampling. In this study, we look at the basic usage of bootstrap in statistics by employing R. The study discusses the bootstrap mean and median. Then there will follow a discussion of the comparison between normal and non-normal data in bootstrap. The study ends with a discussion and presents the advantages and disadvantages of bootstraps. HIKARI LTD 2012 Article PeerReviewed application/pdf en http://eprints.utem.edu.my/id/eprint/3613/1/ahmadAMS89-92-2012_published.pdf Asmala, A. (2012) A Comparison between Normal and Non-Normal Data in Bootstrap. Applied Mathematical Sciences, 6 (92). 4547 -4560. ISSN 1312-885X http://www.m-hikari.com/ |
| spellingShingle | QA Mathematics Asmala, A. A Comparison between Normal and Non-Normal Data in Bootstrap |
| title | A Comparison between Normal and Non-Normal
Data in Bootstrap |
| title_full | A Comparison between Normal and Non-Normal
Data in Bootstrap |
| title_fullStr | A Comparison between Normal and Non-Normal
Data in Bootstrap |
| title_full_unstemmed | A Comparison between Normal and Non-Normal
Data in Bootstrap |
| title_short | A Comparison between Normal and Non-Normal
Data in Bootstrap |
| title_sort | comparison between normal and non-normal
data in bootstrap |
| topic | QA Mathematics |
| url | http://eprints.utem.edu.my/id/eprint/3613/ http://eprints.utem.edu.my/id/eprint/3613/ http://eprints.utem.edu.my/id/eprint/3613/1/ahmadAMS89-92-2012_published.pdf |