• DocumentCode
    1271212
  • Title

    Parameter sensitivity of covariance-based response surfaces for modeling IC processes

  • Author

    Waring, Thomas G. ; Walton, Anthony J. ; Ferguson, R. Stuart ; Sprevak, Dan

  • Author_Institution
    Dept. of Electr. Eng., Edinburgh Univ., UK
  • Volume
    12
  • Issue
    4
  • fYear
    1999
  • fDate
    11/1/1999 12:00:00 AM
  • Firstpage
    431
  • Lastpage
    436
  • Abstract
    When modeling the results of computer experiments which do not suffer from random errors, it is desirable that the models used exactly reproduce all the simulated data points. This paper discusses a method that ensures this and examines how small variations of the estimated parameters of the model influence the accuracy of the prediction. These findings are used to justify a procedure whereby the conditioning difficulties inherent in the method can be overcome
  • Keywords
    covariance analysis; digital simulation; integrated circuit manufacture; semiconductor process modelling; surface fitting; IC process modelling; conditioning difficulties; covariance-based response surfaces; estimated model parameters; parameter sensitivity; simulated data points; Accuracy; Computational modeling; Computer errors; Computer simulation; Integrated circuit modeling; Parameter estimation; Polynomials; Predictive models; Response surface methodology; Surface fitting;
  • fLanguage
    English
  • Journal_Title
    Semiconductor Manufacturing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0894-6507
  • Type

    jour

  • DOI
    10.1109/66.806120
  • Filename
    806120