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Random number datasets generated from statistical analysis of randomly sampled GSM recharge cards
In this article, a random number of datasets was generated from random samples of used GSM (Global Systems for Mobile Communications) recharge cards. Statistical analyses were performed to refine the raw data to random number datasets arranged in table. A detailed description of the method and relev...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5167235/ https://www.ncbi.nlm.nih.gov/pubmed/28018947 http://dx.doi.org/10.1016/j.dib.2016.12.003 |
_version_ | 1782483141548572672 |
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author | Okagbue, Hilary I. Opanuga, Abiodun A. Oguntunde, Pelumi E. Ugwoke, Paulinus O. |
author_facet | Okagbue, Hilary I. Opanuga, Abiodun A. Oguntunde, Pelumi E. Ugwoke, Paulinus O. |
author_sort | Okagbue, Hilary I. |
collection | PubMed |
description | In this article, a random number of datasets was generated from random samples of used GSM (Global Systems for Mobile Communications) recharge cards. Statistical analyses were performed to refine the raw data to random number datasets arranged in table. A detailed description of the method and relevant tests of randomness were also discussed. |
format | Online Article Text |
id | pubmed-5167235 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-51672352016-12-23 Random number datasets generated from statistical analysis of randomly sampled GSM recharge cards Okagbue, Hilary I. Opanuga, Abiodun A. Oguntunde, Pelumi E. Ugwoke, Paulinus O. Data Brief Data Article In this article, a random number of datasets was generated from random samples of used GSM (Global Systems for Mobile Communications) recharge cards. Statistical analyses were performed to refine the raw data to random number datasets arranged in table. A detailed description of the method and relevant tests of randomness were also discussed. Elsevier 2016-12-09 /pmc/articles/PMC5167235/ /pubmed/28018947 http://dx.doi.org/10.1016/j.dib.2016.12.003 Text en © 2016 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Data Article Okagbue, Hilary I. Opanuga, Abiodun A. Oguntunde, Pelumi E. Ugwoke, Paulinus O. Random number datasets generated from statistical analysis of randomly sampled GSM recharge cards |
title | Random number datasets generated from statistical analysis of randomly sampled GSM recharge cards |
title_full | Random number datasets generated from statistical analysis of randomly sampled GSM recharge cards |
title_fullStr | Random number datasets generated from statistical analysis of randomly sampled GSM recharge cards |
title_full_unstemmed | Random number datasets generated from statistical analysis of randomly sampled GSM recharge cards |
title_short | Random number datasets generated from statistical analysis of randomly sampled GSM recharge cards |
title_sort | random number datasets generated from statistical analysis of randomly sampled gsm recharge cards |
topic | Data Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5167235/ https://www.ncbi.nlm.nih.gov/pubmed/28018947 http://dx.doi.org/10.1016/j.dib.2016.12.003 |
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