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dc.creatorLi, Songen_US
dc.date.accessioned2005-11-20T22:58:18Zen_US
dc.date.accessioned2013-01-04T05:08:50Z
dc.date.available2005-11-25T08:00:00Zen_US
dc.date.available2013-01-04T05:08:50Z
dc.date.created2005-10en_US
dc.date.issued2005-10-14en_US
dc.date.submittedOctober 2005en_US
dc.identifier.urihttp://hdl.handle.net/10388/etd-11202005-225818en_US
dc.description.abstractIn spite of increasingly sophisticated workforce management tools, a significant gap remains between the goal of effective staffing and the present difficulty predicting the stochastic demand of inbound calls. We have investigated the hypothesized nonhomogeneous Poisson process model of modem pool callers of the University community. In our case, we tested if the arrivals could be approximated by a piecewise constant rate over short intervals. For each of 1 and 10-minute intervals, based on the close relationship between the Poisson process and the exponential distribution, the test results did not show any sign of homogeneous Poisson process. We have examined the hypothesis of a nonhomogeneous Poisson process by a transformed statistic. Quantitative and graphical goodness-of-fit tests have confirmed nonhomogeneous Poisson process. Further analysis on the intensity function revealed that linear rate intensity was woefully inadequate in predicting time varying arrivals. For sinusoidal rate model, difficulty arose in setting the period parameter. Spline models, as an alternative to parametric modelling, had more control of balance between data fitting and smoothness, which was appealing to our analysis on call arrival process.en_US
dc.language.isoen_USen_US
dc.subjectsmoothing splineen_US
dc.subjectspline regressionen_US
dc.subjecttime-varying arrivalsen_US
dc.subjectcall centre staffingen_US
dc.subjectgoodness-of-fit testsen_US
dc.titleAnalysing stochastic call demand with time varying parametersen_US
thesis.degree.departmentMathematics and Statisticsen_US
thesis.degree.disciplineMathematics and Statisticsen_US
thesis.degree.grantorUniversity of Saskatchewanen_US
thesis.degree.levelMastersen_US
thesis.degree.nameMaster of Science (M.Sc.)en_US
dc.type.materialtexten_US
dc.type.genreThesisen_US
dc.contributor.committeeMemberSrinivasan, Rajen_US
dc.contributor.committeeMemberSoteros, Chrisen_US
dc.contributor.committeeMemberNeufeld, Ericen_US
dc.contributor.committeeMemberMiket, Milivoj J.en_US
dc.contributor.committeeMemberBickis, Mikelis G.en_US


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