A semi-parametric approach for estimating critical fractiles under autocorrelated demand
We study forecasting the critical fractile of a lead time demand distribution when demand is autocorrelated. We propose a semi-parametric approach to estimate the critical fractile. The proposed approach uses empirical forecast errors to correct a possibly misspecified demand forecasting model. We provide conditions for its asymptotic validity and evaluate its small sample performance.
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