ABSTRACT
The data
was collected from Port-Harcourt International Airport from (2000- 2005) times
series analysis was adopted in the analysis of the data the plot of the
standard deviation and the mean which showed that the standard deviation does
not increase with the mean. Hence, the adoption of the additive model to
forecast for the trend the regression model was adopted. The regression
equation was found to be Yt= 5.811 + 0.9166t.
OBUMNEME, D (2025). Time Series Analysis Of Passenger Volume In Port Harcourt International Airport :- Obumneme Hyignius D. Mouau.afribary.org: Retrieved Apr 08, 2025, from https://repository.mouau.edu.ng/work/view/time-series-analysis-of-passenger-volume-in-port-harcourt-international-airport-obumneme-hyignius-d-7-2
DIKE, OBUMNEME. "Time Series Analysis Of Passenger Volume In Port Harcourt International Airport :- Obumneme Hyignius D" Mouau.afribary.org. Mouau.afribary.org, 07 Apr. 2025, https://repository.mouau.edu.ng/work/view/time-series-analysis-of-passenger-volume-in-port-harcourt-international-airport-obumneme-hyignius-d-7-2. Accessed 08 Apr. 2025.
DIKE, OBUMNEME. "Time Series Analysis Of Passenger Volume In Port Harcourt International Airport :- Obumneme Hyignius D". Mouau.afribary.org, Mouau.afribary.org, 07 Apr. 2025. Web. 08 Apr. 2025. < https://repository.mouau.edu.ng/work/view/time-series-analysis-of-passenger-volume-in-port-harcourt-international-airport-obumneme-hyignius-d-7-2 >.
DIKE, OBUMNEME. "Time Series Analysis Of Passenger Volume In Port Harcourt International Airport :- Obumneme Hyignius D" Mouau.afribary.org (2025). Accessed 08 Apr. 2025. https://repository.mouau.edu.ng/work/view/time-series-analysis-of-passenger-volume-in-port-harcourt-international-airport-obumneme-hyignius-d-7-2