• DocumentCode
    2044455
  • Title

    Semiparametric methods of hypothesis testing about average value on basis of decomposition in space of Kunchenko

  • Author

    Zabolotnyi, S.V. ; Salypa, S.V.

  • Author_Institution
    Cherkassy State Technol. Univ., Cherkassy, Ukraine
  • fYear
    2013
  • fDate
    8-14 Sept. 2013
  • Firstpage
    955
  • Lastpage
    956
  • Abstract
    The new method of statistical hypothesis test about the mean value of random values, being based on the decomposition in space with a generative element (Kunchenko´s space) and use the property of the minimization of the variance of stochastic polynomials is offered. Gained analytical expressions allow optimizing deciding rules on a certain high-quality criterion and expecting the probabilities of errors during solution of problem. The comparing of the polynomial of deciding rules during to linear rule is conducted by a statistical design.
  • Keywords
    decision theory; error statistics; polynomials; random processes; statistical testing; stochastic processes; Kunchenko space decomposition; deciding rule polynomial; error probability; generative element; high-quality criterion; linear rule; semiparametric methods; statistical design; statistical hypothesis test method; stochastic polynomial variance minimization; Abstracts; Educational institutions; Electronic mail; Minimization; Polynomials; Probability; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Microwave and Telecommunication Technology (CriMiCo), 2013 23rd International Crimean Conference
  • Conference_Location
    Sevastopol
  • Print_ISBN
    978-966-335-395-1
  • Type

    conf

  • Filename
    6653142