TY  - CHAP
AB  - This chapter examines the use of mathematical programming to remove systematic bias from demand forecasts. A debiasing methodology is developed and applied to demand data from an actual service operation. The accuracy of the proposed methodology is compared to the accuracy of a well-known approach that utilizes ordinary least squares regression. Results indicate that the proposed method outperforms the least squares approach.
VL  - 8
SN  - 978-0-85724-959-3, 978-0-85724-960-9/1477-4070
DO  - 10.1108/S1477-4070(2011)0000008004
UR  - https://doi.org/10.1108/S1477-4070(2011)0000008004
AU  - Utley Joanne
ED  - Kenneth D. Lawrence
ED  - Ronald K. Klimberg
PY  - 2011
Y1  - 2011/01/01
TI  - Removing Systematic Bias from Demand Forecasts
T2  - Advances in Business and Management Forecasting
T3  - Advances in Business and Management Forecasting
PB  - Emerald Group Publishing Limited
SP  - 3
EP  - 12
Y2  - 2024/09/19
ER  -