Monotone Forecasts

Çağrı Haksöz () and Sridhar Seshadri ()
Additional contact information
Çağrı Haksöz: Department of Information, Operations, and Management Sciences, Stern School of Business, New York University, New York, New York 10012

Operations Research, 2004, vol. 52, issue 3, 478-486

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.

Keywords: inventory/production; policies; probability; distribution comparisons; stochastic model applications; forecasting; applications (search for similar items in EconPapers)
Date: 2004
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://dx.doi.org/10.1287/opre.1030.0097 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:inm:oropre:v:52:y:2004:i:3:p:478-486

Access Statistics for this article

More articles in Operations Research from INFORMS Contact information at EDIRC.
Bibliographic data for series maintained by Chris Asher ().