Time Series Analysis of Mo of Fire Outbreaks In River State

NNATIE CHINEDU UZOMA | 36 pages (5032 words) | Projects

 

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.

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APA

NNATIE, U (2021). Time Series Analysis of Mo of Fire Outbreaks In River State. Repository.mouau.edu.ng: Retrieved May 16, 2024, from https://repository.mouau.edu.ng/work/view/time-series-analysis-of-mo-of-fire-outbreaks-in-river-state-7-2

MLA 8th

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 16 May. 2024.

MLA7

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. 16 May. 2024. < https://repository.mouau.edu.ng/work/view/time-series-analysis-of-mo-of-fire-outbreaks-in-river-state-7-2 >.

Chicago

UZOMA, NNATIE. "Time Series Analysis of Mo of Fire Outbreaks In River State" Repository.mouau.edu.ng (2021). Accessed 16 May. 2024. https://repository.mouau.edu.ng/work/view/time-series-analysis-of-mo-of-fire-outbreaks-in-river-state-7-2

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