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Daily Calls Volume Forecasting
Högskolan Dalarna, Akademin Industri och samhälle, Statistik.
Högskolan Dalarna, Akademin Industri och samhälle, Statistik.
2010 (engelsk)Independent thesis Advanced level (degree of Master (Two Years))Oppgave
Abstract [en]

A massive amount has been written about forecasting but few articles are written about the development of time series models of call volumes for emergency services. In this study, we use different techniques for forecasting and make the comparison of the techniques for the call volume of the emergency service Rescue 1122 Lahore, Pakistan. For the purpose of this study data is taken from emergency calls of Rescue 1122 from 1st January 2008 to 31 December 2009 and 731 observations are used. Our goal is to develop a simple model that could be used for forecasting the daily call volume. Two different approaches are used for forecasting the daily call volume Box and Jenkins (ARIMA) methodology and Smoothing methodology. We generate the models for forecasting of call volume and present a comparison of the two different techniques.

sted, utgiver, år, opplag, sider
Börlange, Dalarna, 2010. , s. 35
Emneord [en]
Rescue 1122, Time series forecasting, daily call volume, ARIMA Modeling
Identifikatorer
URN: urn:nbn:se:du-4852OAI: oai:dalea.du.se:4852DiVA, id: diva2:518902
Uppsök
Social and Behavioural Science, Law
Veileder
Tilgjengelig fra: 2010-06-21 Laget: 2010-06-21 Sist oppdatert: 2012-04-24bibliografisk kontrollert

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