ABSTRACT
The data used for this study was collected from the fire service headquarters, Port Harcourt over a period for nine years (2002-2010). A time series analysis was carried out on the data by the use of MFN1TAB. The analysis indicated that the time series plot was not stationary as was seen in Fig 1. And it was differenced in order to provide a better model capable of explaining the properties of the non-stationary series, as show in appendix D. The auto-correlation function (ACF) and partial autocorrelation Function (PACF) graphs were also plotted. Integrated moving average of order one, One [.IMA(1,1)} was 0 suggested to be the best fitted model for the data. Base on this model, forecast were made. See appendix C. Finally, recommendations and conclusions were made.
TABLE
OF CONTENTS
TITLE PAGE
CERTIFICATION ii
DEDICATION iii
ACKNOWLEDGEMENT iv
TABLE OF CONTENTS vi
ABSTRACT viii
CHAPTER ONE
1.0 Introduction 1
1 .1 Statement of Problem 3
1.2 Objectives of the Study 3
1.3 Significance of the Study 4
1.4 Scope of Study S 4
1.5 Definition of Terms 5
CHAPTER TWO
O 2.1 LITERATURE REVIEW 7
CHAPTER THREE
3.1 METHODOLOGY: SOURCE OF DATA 9
3.1.1 Method of Analysis 9
3.1.2 Time Plot of the Series 10
3.1.3 Differencing 10
3.1.4 Autocorrelation Function (ACF) 10
3.1.5 Partial Autocorrelation Function (PACF) ii
3.1.6 Autoregressive (AR) Process 11
3.1.7 Moving Average (MA) Process 12
3.2 Autoregressive Moving Average (ARMA) Process 12
3.2.1 Autoregressive Integrated Moving Average
(AR1MA) 13
CHAPTER FOUR
4.0 DATA ANALYSIS 14
4.1 Time Plot of the Original Series Y 14
4.1.1 Autocorrelation Function (ACF) of Original
Series Y1 16
4.1.2 Partial Autocorrelation Function of the
Original Series Y 16
4.2 Time Plot of the Differenced Series, D1 17.
4.2.1 Autocorrelation Function (ACF) of the
Differenced Series D1 18
4.2.2 Partial Autocorrelation Function (PACF) of the
Differenced Series D119
4.3 Forecast Model . 19
CHAPTER FIVE
5.1 Summamy 22
5.2 Recommendations 22
References
APPENDIX A
APPENDIX B
APPENDIX C.
NNATIE, U (2021). Time Series Analysis of Mo of Fire Outbreaks In River State. Repository.mouau.edu.ng: Retrieved Nov 25, 2024, from https://repository.mouau.edu.ng/work/view/time-series-analysis-of-mo-of-fire-outbreaks-in-river-state-7-2
UZOMA, NNATIE. "Time Series Analysis of Mo of Fire Outbreaks In River State" Repository.mouau.edu.ng. Repository.mouau.edu.ng, 18 May. 2021, https://repository.mouau.edu.ng/work/view/time-series-analysis-of-mo-of-fire-outbreaks-in-river-state-7-2. Accessed 25 Nov. 2024.
UZOMA, NNATIE. "Time Series Analysis of Mo of Fire Outbreaks In River State". Repository.mouau.edu.ng, Repository.mouau.edu.ng, 18 May. 2021. Web. 25 Nov. 2024. < https://repository.mouau.edu.ng/work/view/time-series-analysis-of-mo-of-fire-outbreaks-in-river-state-7-2 >.
UZOMA, NNATIE. "Time Series Analysis of Mo of Fire Outbreaks In River State" Repository.mouau.edu.ng (2021). Accessed 25 Nov. 2024. https://repository.mouau.edu.ng/work/view/time-series-analysis-of-mo-of-fire-outbreaks-in-river-state-7-2