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Statistical analysis for Kumaraswamy’s distribution based on record data

Listed author(s):
  • Mustafa Nadar


  • Alexander Papadopoulos


  • Fatih Kızılaslan


Registered author(s):

    In this paper we review some results that have been derived on record values for some well known probability density functions and based on m records from Kumaraswamy’s distribution we obtain estimators for the two parameters and the future sth record value. These estimates are derived using the maximum likelihood and Bayesian approaches. In the Bayesian approach, the two parameters are assumed to be random variables and estimators for the parameters and for the future sth record value are obtained, when we have observed m past record values, using the well known squared error loss (SEL) function and a linear exponential (LINEX) loss function. The findings are illustrated with actual and computer generated data. Copyright Springer-Verlag 2013

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    Article provided by Springer in its journal Statistical Papers.

    Volume (Year): 54 (2013)
    Issue (Month): 2 (May)
    Pages: 355-369

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    Handle: RePEc:spr:stpapr:v:54:y:2013:i:2:p:355-369
    DOI: 10.1007/s00362-012-0432-7
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    1. McDonald, James B, 1984. "Some Generalized Functions for the Size Distribution of Income," Econometrica, Econometric Society, vol. 52(3), pages 647-663, May.
    2. Jafar Ahmadi & M. Doostparast, 2006. "Bayesian estimation and prediction for some life distributions based on record values," Statistical Papers, Springer, vol. 47(3), pages 373-392, June.
    3. Abbas Seifi & K. Ponnambalam & Jiri Vlach, 2000. "Maximization of Manufacturing Yield of Systems with Arbitrary Distributions of Component Values," Annals of Operations Research, Springer, vol. 99(1), pages 373-383, December.
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