• DocumentCode
    1671840
  • Title

    Investigation of a priori models of optimal experimentation

  • Author

    Naumov, A.A. ; Shityi, A.V.

  • Author_Institution
    Novosibirsk State Tech. Univ., Russia
  • fYear
    2002
  • Firstpage
    177
  • Lastpage
    178
  • Abstract
    The investigation is aimed at showing that the classic procedures of the experiments planning are effective and robust with due respect to the assumptions (hypotheses) concerning the properties of random errors of the regression models.
  • Keywords
    design of experiments; least squares approximations; optimisation; probability; regression analysis; a priori models; experiments planning; hypotheses; least squares method; optimal experimentation; optimization problem; probabilistic measure; random errors; regression models; response function estimation; robustness property; simplex structures; Control systems; Equations; Graphics; Informatics; Least squares methods; Random variables; Robustness; Systems engineering and theory; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Modern Technique and Technologies, 2002. MTT 2002. Proceedings of the 8th International Scientific and Practical Conference of Students, Post-graduates and Young Scientists
  • Print_ISBN
    0-7803-7373-1
  • Type

    conf

  • DOI
    10.1109/SPCMTT.2002.1213793
  • Filename
    1213793