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Author:Pinder, J.
Title:Testing for nonlinear dependence in inventory data
Journal:Decision Sciences
1994 : MAY/JUN, VOL. 25:3, p. 427-444
Index terms:FORECASTING
INVENTORY CONTROL
MANAGEMENT
Language:eng
Abstract:This paper describes the properties of nonlinear dynamical systems in demand data and assesses the implications for inventory management. A test from Brock, Dechert, and Scheinkman for detecting nonlinearities is presented. This test assists inventory managers with two issues. It can be issued to detect departures from the independence and stationarity assumptions of particular inventory models, thereby identifying the need for more suitable models.
SCIMA record nr: 126281
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