• DocumentCode
    1486159
  • Title

    A method for estimating the parameters of the K distribution

  • Author

    Iskander, D. Robert ; Zoubir, Abdelhak M. ; Boashash, Boualem

  • Author_Institution
    Centre for Eye Res., Queensland Univ. of Technol., Brisbane, Qld., Australia
  • Volume
    47
  • Issue
    4
  • fYear
    1999
  • fDate
    4/1/1999 12:00:00 AM
  • Firstpage
    1147
  • Lastpage
    1151
  • Abstract
    A method that combines the maximum likelihood and the method of moments for estimating the parameters of the K distribution is proposed. The method results in the lowest variance of parameter estimates when compared with existing non-ML techniques
  • Keywords
    maximum likelihood estimation; method of moments; parameter estimation; probability; signal processing; statistical analysis; K distribution; maximum likelihood method; method of moments; parameter estimation; signal processing; Australia; Maximum likelihood estimation; Message-oriented middleware; Moment methods; Nonlinear equations; Parameter estimation; Probability density function; Radar applications; Radar signal processing; Random variables;
  • fLanguage
    English
  • Journal_Title
    Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1053-587X
  • Type

    jour

  • DOI
    10.1109/78.752614
  • Filename
    752614
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1486159