Application of Statistical Models to Outpatient Department (OPD) Attendance Data in Saltpond Municipal Hospital of the Central Region of Ghana

dc.contributor.authorArthur, Japheth
dc.date.accessioned2013-12-16T10:32:05Z
dc.date.accessioned2023-04-20T12:49:50Z
dc.date.available2013-12-16T10:32:05Z
dc.date.available2023-04-20T12:49:50Z
dc.date.issued2013
dc.descriptionA thesis submitted to the Institute of Distance Learning, Kwame Nkrumah University of Science and Technology in partial fulfilment of the requirement for the award of Master of Science degree in Industrial Mathematics, en_US
dc.description.abstractHospitals in Ghana are always overwhelmed by the unexpected high Outpatient Department (OPD) attendance. The Saltpond Municipal Hospital at Saltpond in the Central Region of Ghana is no exception. This reason underpins this study where OPD attendance data from 2002 to 2012 as can be seen in appendix A was gathered for developing an adequate time series model and forecasting attendance for the next five (5) years. Several time series models including AR, MA, ARMA, ARIMA and SARIMA were fitted to the data. It was revealed that the most adequate model for the data was the seasonal ARIMA (1, 1, 3) (0, 1, 1)12. Also, there will be an increase in the OPD attendance at the hospital in the next 5 years. It is recommended that in order for the hospital to prepare adequately, the forecasted figures should be relied upon in planning its activities.en_US
dc.description.sponsorshipKNUSTen_US
dc.identifier.urihttps://ir.knust.edu.gh/handle/123456789/5408
dc.language.isoenen_US
dc.titleApplication of Statistical Models to Outpatient Department (OPD) Attendance Data in Saltpond Municipal Hospital of the Central Region of Ghanaen_US
dc.typeThesisen_US
Files
Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Japheth Arthur.pdf
Size:
996.57 KB
Format:
Adobe Portable Document Format
Description:
Full Thesis
License bundle
Now showing 1 - 2 of 2
Loading...
Thumbnail Image
Name:
license.txt
Size:
1.73 KB
Format:
Item-specific license agreed to upon submission
Description:
Loading...
Thumbnail Image
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed to upon submission
Description: