In this article we develop a new test procedure for testing a linear hypothesis in a fixed effects linear model with heteroscedastic errors. This test is based on the ordinary least squares estimator (OLSE) of the regression parameter and uses the variance estimator of OLSE that accounts for heteros
Sensitivity analysis of productive inventories under modeling errors
โ Scribed by M.S. Mahmoud; M.A. Younis
- Publisher
- Elsevier Science
- Year
- 1990
- Tongue
- English
- Weight
- 645 KB
- Volume
- 13
- Category
- Article
- ISSN
- 0895-7177
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โฆ Synopsis
In this paper, the optimal policy of fixed order size inventory systems is reexamined when cost parameters and demand level forecast are incorrectly estimated. Sensitivity expressions based on first-order perturbations are derived to indicate the resulting variation in the operation cost, It is particularly indicated that the economic order quantity (EOQ) can change when the demand level is misspecified in both cases of underestimation and overestimation.
A typical example is worked out to illustrate the analytical results.
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