A system identification problem of estimating parameters in the profit analysis model for a product

Hsi Mei Chen, Cheng-Hung Huang

Research output: Contribution to journalArticle

3 Citations (Scopus)

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 languageEnglish
Pages (from-to)15-26
Number of pages12
JournalInternational Journal of Production Economics
Volume72
Issue number1
DOIs
Publication statusPublished - 2001 Jun 30

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Identification (control systems)
Profitability
Statistical methods
Sensitivity analysis
Identification problem
System identification
Profit
Statistical analysis
Standard deviation

All Science Journal Classification (ASJC) codes

  • Business, Management and Accounting(all)
  • Economics and Econometrics
  • Management Science and Operations Research
  • Industrial and Manufacturing Engineering

Cite this

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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 journalArticle

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