Abstract
A system identification algorithm with Levenberg-Marquardt method is developed to estimate the parameters that were used in the model of profit analysis for a product from the observed expected total profit. The inverse calculations are performed based on the simulated exact and inexact observed total profit to show the validity of the present study. Moreover, the statistical analysis will also be considered here to determine the standard deviation for the estimated parameters. Results show that the standard deviations of the estimated parameters are decreased as the number of observed profits are increased. Finally the sensitivity analysis is performed to show the validity of some results obtained by statistical analysis.
| Original language | English |
|---|---|
| Pages (from-to) | 15-26 |
| Number of pages | 12 |
| Journal | International Journal of Production Economics |
| Volume | 72 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 2001 Jun 30 |
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All Science Journal Classification (ASJC) codes
- Business, Management and Accounting(all)
- Economics and Econometrics
- Management Science and Operations Research
- Industrial and Manufacturing Engineering
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A system identification problem of estimating parameters in the profit analysis model for a product. / Chen, Hsi Mei; Huang, Cheng-Hung.
In: International Journal of Production Economics, Vol. 72, No. 1, 30.06.2001, p. 15-26.Research output: Contribution to journal › Article
TY - JOUR
T1 - A system identification problem of estimating parameters in the profit analysis model for a product
AU - Chen, Hsi Mei
AU - Huang, Cheng-Hung
PY - 2001/6/30
Y1 - 2001/6/30
N2 - A system identification algorithm with Levenberg-Marquardt method is developed to estimate the parameters that were used in the model of profit analysis for a product from the observed expected total profit. The inverse calculations are performed based on the simulated exact and inexact observed total profit to show the validity of the present study. Moreover, the statistical analysis will also be considered here to determine the standard deviation for the estimated parameters. Results show that the standard deviations of the estimated parameters are decreased as the number of observed profits are increased. Finally the sensitivity analysis is performed to show the validity of some results obtained by statistical analysis.
AB - A system identification algorithm with Levenberg-Marquardt method is developed to estimate the parameters that were used in the model of profit analysis for a product from the observed expected total profit. The inverse calculations are performed based on the simulated exact and inexact observed total profit to show the validity of the present study. Moreover, the statistical analysis will also be considered here to determine the standard deviation for the estimated parameters. Results show that the standard deviations of the estimated parameters are decreased as the number of observed profits are increased. Finally the sensitivity analysis is performed to show the validity of some results obtained by statistical analysis.
UR - http://www.scopus.com/inward/record.url?scp=0035973375&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=0035973375&partnerID=8YFLogxK
U2 - 10.1016/S0925-5273(00)00074-8
DO - 10.1016/S0925-5273(00)00074-8
M3 - Article
AN - SCOPUS:0035973375
VL - 72
SP - 15
EP - 26
JO - International Journal of Production Economics
JF - International Journal of Production Economics
SN - 0925-5273
IS - 1
ER -