Adeboye, Nurain Olawale and Olayiwola, M. Oyedunsi (2020) Big Data Affluence in Statistics Application: A Comparison of Real Life and Simulated Open Data. In: The Roundtable conference of the International Association for Statistical Education (IASE),, July 2020, The Netherlands..
![[img]](https://eprints.federalpolyilaro.edu.ng/style/images/fileicons/text.png) |
Text
IASE2020 Roundtable 11_ADEBOYE.pdf Download (555kB) |
Abstract
Large data repositories or database management still remain a mirage and tough challenge to accomplish by most developing countries and establishments around the globe. This necessitates the need to improvise on the gathering of suitable data with a good spread to serve as a complement, in the absence of sufficient real-life data. Statisticians are increasingly posed with thought-provoking and even paradoxical questions, challenging our qualifications for entering the statistical paradises created by Big Data. Through classroom activities that involved both sourced real-life and simulated big data in R-environment, models were built and estimates obtained from the adopted techniques revealed the robustness of simulated datasets in a unified observation with improved significant values as reflected in the results. Students appreciated the use of such big data as it enhances their machine learning ability and the availability of sufficient data without delay.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Subjects: | Q Science > QA Mathematics |
| Divisions: | Faculty of Engineering, Science and Mathematics > School of Mathematics |
| Depositing User: | Mr Taiwo Egbeyemi |
| Date Deposited: | 08 Feb 2022 09:27 |
| Last Modified: | 08 Feb 2022 09:27 |
| URI: | http://eprints.federalpolyilaro.edu.ng/id/eprint/1824 |
Actions (login required)
 |
View Item |
