Time Series Analysis Model for the Rate of Influx of Refugees in Kenya

Mudanyi, Lenard Allan; Mutua, Nicholas Muthama; Sinino, Zipporah Kinyanjui

dc.contributor.author	Mudanyi, Lenard Allan
dc.contributor.author	Mutua, Nicholas Muthama
dc.contributor.author	Sinino, Zipporah Kinyanjui
dc.date.accessioned	2021-06-16T08:04:51Z
dc.date.available	2021-06-16T08:04:51Z
dc.date.issued	2013
dc.identifier.issn	2319 – 1813
dc.identifier.uri	http://ir.ttu.ac.ke/xmlui/handle/123456789/54
dc.description.abstract	There has been a large influx of refugees in Kenya from the neighboring countries due to their political instabilities. In this study, the number of refugees entering Kenya every year for a period 1993 to 2010 was analyzed using time series methods. Autocorrelation and partial autocorrelation function are calculated for the collected data. The appropriate Autoregressive Integrated Moving Average (ARIMA) model was fitted. The validity of the developed model was then checked using standard statistical techniques. Since the ARIMA model has a forecasting power, it was used in forecasting the number of refugees in Kenya.	en_US
dc.language.iso	en	en_US
dc.publisher	The International Journal Of Engineering And Science (IJES)	en_US
dc.subject	Influx, Refugees, Time series, Autocorrelation, Forecasting.	en_US
dc.title	Time Series Analysis Model for the Rate of Influx of Refugees in Kenya	en_US
dc.type	Article	en_US