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

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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

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