Monotone Forecasts

Haksöz, Çağrı; Seshadri, S.

Abstract

In this paper we provide necessary and sufficient conditions for the distribution of demand in the future to be stochastically increasing in the demand that has been observed in the past. We base our analysis on the multiperiod inventory model examined by Eppen and Iyer (1997). In the process of establishing the necessary and sufficient conditions we develop a new property called the sequential monotone likelihood ratio property.

Citation

Haksöz, Ç., & Seshadri, S. (2004). Monotone Forecasts. Operations Research, 52(3), 478-486. https://doi.org/10.1287/opre.1030.0097

• Journal Article Type: Article
• Publication Date: 2004
• Deposit Date: Sep 25, 2019
• Journal: Operations Research
• Print ISSN: 0030-364X
• Electronic ISSN: 1526-5463
• Publisher: Institute for Operations Research and Management Sciences
• Volume: 52
• Issue: 3
• Pages: 478-486
• DOI: https://doi.org/10.1287/opre.1030.0097
• Keywords: Inventory/production: policies, Probability: distribution comparisons, Stochastic model applications, Forecasting: applications
• Public URL: https://durham-repository.worktribe.com/output/1285201
• Related Public URLs: https://www.jstor.org/stable/pdf/30036597.pdf