Monotone forecasts

Çaǧri Haksöz, Sridhar Seshadri

Research output: Contribution to journalArticlepeer-review

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.

Original languageEnglish (US)
Pages (from-to)478-486
Number of pages9
JournalOperations Research
Volume52
Issue number3
DOIs
StatePublished - May 2004
Externally publishedYes

Keywords

  • Forecasting: Applications
  • Inventory/production: Policies
  • Probability: Distribution comparisons
  • Stochastic model applications

ASJC Scopus subject areas

  • Computer Science Applications
  • Management Science and Operations Research

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