Forecasting Demand for Rural Electric Cooperative Call Center
AbstractThis research forecasts peak call volume to allow a centralized call center to minimize staffing costs. A Gaussian copula is used to capture the dependence among nonnormal distributions. Peak call volume can be easily and more accurately predicted using the marginal probability distribution with the copula function than without using a copula. The modeling approach allows simulating adding another cooperative. Ignoring the dependence that the copula includes, causes peak values to be underestimated.
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Bibliographic InfoPaper provided by Southern Agricultural Economics Association in its series 2009 Annual Meeting, January 31-February 3, 2009, Atlanta, Georgia with number 46809.
Date of creation: Jan 2009
Date of revision:
Call center data; Empirical distribution; Extreme value theory; Forecasting; Gamma distribution; Gaussian copula; Simulation; Agribusiness; Demand and Price Analysis; Research Methods/ Statistical Methods;
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