ABSTRACT
The
aim of studying mortality is to enable inferences to be drawn about the death
occurring within a specific population during a specific period of time. The
problems of the study includes causes of infant mortality, possible solutions
to the problem and to know whether the trend is on increase while the main
objective is determine the trend of infant mortality among the total death that
occurred at Federal Medical Centre Umuahia, Ahia State. The method of analysis
used was Box and Jenkins Iterative Method. It employed the use of Autocorrelation
Functions (ACF) and Partial Autocorrelation Function (PACF). This will lead to
identification of patterns. The time plot of the original data was made in
order to determine whether the series has any statistical properties, that is
trend and this will lead to the use of analysis of the original data. The
original series was analyzed and the least square was estimated using Mini tab
16, a trend was found. Having checked the patterns, the ACF and PACF was
examined; the ACF of the series has three cut off lying over 95% confidence
interval without any spike, it does not decay exponentially rather a sine wave
pattern while the PACF has a cut off at lag 1 and a spike lying over 95%
confidence interval; it does not decay exponentially rather a sine wave pattern.
Having seen that the data is non-stationary, it was differenced to achieve
stationarity. Thereafter, the first difference was taken and was found that the
ACF of the non-seasonal series has no cut off at the seasonal lag but a
significant cut off was observed at lag 1, suggesting a moving average of order
1 also the PACF was examined and there was two cut off lying over 95%
confidence interval and this suggesting an autoregressive of order 2. After
examining the ACF and PACF an ARIMA (211) model was chosen. For model
verification, the adequacy checking of the residual was employed. There is no
cut off in the ACF and PACF of the residual which signified that appropriate
model was used. From the forecast it was found that infant mortality in Abia
State is still on increase.
TIMOTHY, C (2024). Time Series Analysis of Infant Mortality in Abia State:- Timothy, Rita C.. Mouau.afribary.org: Retrieved Nov 17, 2024, from https://repository.mouau.edu.ng/work/view/time-series-analysis-of-infant-mortality-in-abia-state-timothy-rita-c-7-2
CHIOMA, TIMOTHY. "Time Series Analysis of Infant Mortality in Abia State:- Timothy, Rita C." Mouau.afribary.org. Mouau.afribary.org, 05 Mar. 2024, https://repository.mouau.edu.ng/work/view/time-series-analysis-of-infant-mortality-in-abia-state-timothy-rita-c-7-2. Accessed 17 Nov. 2024.
CHIOMA, TIMOTHY. "Time Series Analysis of Infant Mortality in Abia State:- Timothy, Rita C.". Mouau.afribary.org, Mouau.afribary.org, 05 Mar. 2024. Web. 17 Nov. 2024. < https://repository.mouau.edu.ng/work/view/time-series-analysis-of-infant-mortality-in-abia-state-timothy-rita-c-7-2 >.
CHIOMA, TIMOTHY. "Time Series Analysis of Infant Mortality in Abia State:- Timothy, Rita C." Mouau.afribary.org (2024). Accessed 17 Nov. 2024. https://repository.mouau.edu.ng/work/view/time-series-analysis-of-infant-mortality-in-abia-state-timothy-rita-c-7-2