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...

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Detalles Bibliográficos
Autores principales: Okagbue, Hilary I., Opanuga, Abiodun A., Oguntunde, Pelumi E., Ugwoke, Paulinus O.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2016
Materias:
Data Article
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
Descripción
Sumario: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.

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