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On a statistical approximation model of probabilitydensity function of non-negative random variables

Author

Listed:
  • Tibor KPogany

    (Faculty od Maritime Studies, University of Rijeka, Croatia
    Institute of Applied Mathematics, Obuda University, Hungary)

Abstract

The probability density function of a non–negative random variable is approximated by virtue of a result by Totik [1], when the support domain is truncated to a finite interval. This result is transferred to the case of three–parameter Weibull distribution.

Suggested Citation

  • Tibor KPogany, 2018. "On a statistical approximation model of probabilitydensity function of non-negative random variables," Biostatistics and Biometrics Open Access Journal, Juniper Publishers Inc., vol. 8(4), pages 69-72, November.
    • Handle: RePEc:adp:jbboaj:v:8:y:2018:i:4:p:69-72
    DOI: 10.19080/BBOAJ.2018.08.555741
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    References listed on IDEAS

    as
    1. Gwo Dong Lin, 2017. "Recent developments on the moment problem," Journal of Statistical Distributions and Applications, Springer, vol. 4(1), pages 1-17, December.
    2. Jukic, Dragan & Bensic, Mirta & Scitovski, Rudolf, 2008. "On the existence of the nonlinear weighted least squares estimate for a three-parameter Weibull distribution," Computational Statistics & Data Analysis, Elsevier, vol. 52(9), pages 4502-4511, May.
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