• DocumentCode
    3009498
  • Title

    Application of parameter estimation and hypothesis test for a generalized gamma distribution

  • Author

    Nicholson, D.L.

  • Author_Institution
    United States Naval Academy, Annapolis, Maryland
  • fYear
    1975
  • fDate
    10-12 Dec. 1975
  • Firstpage
    321
  • Lastpage
    326
  • Abstract
    This paper develops maximum likelihood (ML) estimation procedures for the parameters of a generalized Gamma probability density function. In addition, the likelihood ratio conditioned on the ML estimates of the process parameters is given. A special case arising in the analysis of carbon monoxide pollution data is discussed in detail and the performance of the binary hypothesis test functioning as a pollution forecasting algorithm is reported.
  • Keywords
    Algorithm design and analysis; Carbon dioxide; Equations; Maximum likelihood estimation; Parameter estimation; Pollution; Probability density function; State estimation; Testing; Yield estimation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control including the 14th Symposium on Adaptive Processes, 1975 IEEE Conference on
  • Conference_Location
    Houston, TX, USA
  • Type

    conf

  • DOI
    10.1109/CDC.1975.270700
  • Filename
    4045427