Aako, O. L. and AJIBODE, I. A (2019) Shewhart Individual Control Charts for Monitoring Monthly Rainfall in South-West Nigeria. In: Proceedings of the 16th iSTEAMS Multidisciplinary Research Nexus Conference, 9th – 11th June, 2019., The Federal Polytechnic, Ilaro.
![[img]](http://eprints.federalpolyilaro.edu.ng/style/images/fileicons/text.png) |
Text
AJIBODE, I.A. CONFERENCE PAPER 1.pdf Download (1MB) |
Abstract
The Shewhart classic control charts are based on the normality assumption and would fail to properly monitor an asymmetric distribution. Data non-normality is a common problem encountered in statistical process control. Most data that occur naturally tends to depart from normality. Transformation is one of the convenient and easy ways to remedy the problem. In this research, Box-cox and Johnson transformation were used out of many existing normalizing transformation tools to transform the data to approximately normal distribution. The monthly rainfall data in South West, Nigeria, were collected. The individual Shewhart control charts were constructed for Abeokuta, Oyo, Akure and Ikeja transformed rainfall data. The false alarm rate was used to measure the performance of the control charts under each transformation. Box-cox transformation gives lower false alarm rate for Abeokuta, Oyo and Ikeja while Johnson transformation gives lower false alarm rate for Akure.
| 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. Bolanle Yisau I. |
| Date Deposited: | 29 May 2021 16:13 |
| Last Modified: | 29 May 2021 16:13 |
| URI: | http://eprints.federalpolyilaro.edu.ng/id/eprint/1491 |
Actions (login required)
 |
View Item |
