the objective of this research is to tackle the emerging problem of jointly determining theoptimal retail price, the replenishment cycle, and the cost of preservation technology investment from an integrated perspective among the supplier and the manufacturer. this paper deals an integrated single-manufacturer single-retailer supply chain model for deteriorating items under revenue sharing on p...

improving time series forecastingaccuracy is an important yet often difficult task.both theoretical and empirical findings haveindicated that integration of several models is an effectiveway to improve predictive performance, especiallywhen the models in combination are quite different. in this paper,a model of the hybrid artificial neural networks andfuzzy model is proposed for time series for...

ecological changes resulting from climate conditions can severely affect human societies especially in the area of economy and safety. climate catastrophes may cause social and economic tension. forecasting such changes accurately can help the government to control the disasters and to achieve possible benefits (such as water supply in flood). weather forecasting is the application of science a...

Title of Dissertation: THE EFFECT OF INSTRUCTIONAL CONSULTATION TEAMS ON TEACHERS’ REPORTED INSTRUCTIONAL PRACTICES Lauren Tracy Kaiser, Doctor of Philosophy, 2007 Dissertation Directed by: Professor Sylvia Rosenfield, School Psychology Program A primary goal of Instructional Consultation Teams (IC Teams; Rosenfield & Gravois, 1996) is that students’ problems will be prevented or resolved throu...

Model identification is an important and complicated step within the autoregressive integrated moving average (ARIMA) methodology framework. This step is especially difficult for integrated series. In this article first investigate Box-Jenkins methodology and its faults in detecting model, and hence have discussed the problem of outliers in time series. By using this optimization method, we wil...