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On the Marshall–Olkin extended Weibull distribution

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Abstract

We study some mathematical properties of the Marshall–Olkin extended Weibull distribution introduced by Marshall and Olkin (Biometrika 84:641–652, 1997). We provide explicit expressions for the moments, generating and quantile functions, mean deviations, Bonferroni and Lorenz curves, reliability and Rényi entropy. We determine the moments of the order statistics. We also discuss the estimation of the model parameters by maximum likelihood and obtain the observed information matrix. We provide an application to real data which illustrates the usefulness of the model.

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References

  • Barakat HM, Abdelkader YH (2004) Computing the moments of order statistics from nonidentical random variables. Stat Methods Appl 13: 15–26

    Article  MathSciNet  MATH  Google Scholar 

  • Bebbington M, Lai CD, Zitikis R (2007) A flexible Weibull extension. Reliab Eng Syst Saf 92: 719–726

    Article  Google Scholar 

  • Caroni C (2010) Testing for the Marshall–Olkin extended form of the Weibull distribution. Stat Pap 51: 325–336

    Article  MathSciNet  MATH  Google Scholar 

  • Chen G, Balakrishnan N (1995) A general purpose approximate goodness-of-fit test. J Qual Technol 27: 154–161

    Google Scholar 

  • Cordeiro GM, Ortega EMM, Nadarajah S (2010) The Kumaraswamy Weibull distribution with application to failure data. J Frankl Inst 347: 1399–1429

    Article  MathSciNet  MATH  Google Scholar 

  • Cox DR, Lewis PAW (1966) The statistical analysis of series of events. Methuem, London

    MATH  Google Scholar 

  • Doornik JA (2006) An object-oriented matrix language—Ox 4, 5th ed. Timberlake Consultants Press, London

    Google Scholar 

  • Economou P, Caroni C (2007) Parametric proportional odds frailty models. Commun Stat Simul Comput 36: 579–592

    Article  MathSciNet  Google Scholar 

  • Ghitany ME (2005) Marshall–Olkin extended Pareto distribution and its application. Int J Appl Math 18: 17–32

    MathSciNet  MATH  Google Scholar 

  • Ghitany ME, Kotz S (2007) Reliability properties of extended linear failure-rate distributions. Probab Eng Inf Sci 21: 441–450

    Article  MathSciNet  MATH  Google Scholar 

  • Ghitany ME, Al-Hussaini EK, AlJarallah RA (2005) Marshall–Olkin extended Weibull distribution and its application to censored data. J Appl Stat 32: 1025–1034

    Article  MathSciNet  MATH  Google Scholar 

  • Ghitany ME, Al-Awadhi FA, Alkhalfan LA (2007) Marshall–Olkin extended Lomax distribution and its application to censored data. Commun Stat Theory Methods 36: 1855–1866

    Article  MathSciNet  MATH  Google Scholar 

  • Gómez–Déniz E (2010) Another generalization of the geometric distribution. Test 19: 399–415

    Article  MathSciNet  MATH  Google Scholar 

  • Gómez–Déniz E, Vázquez–Polo FJ (2010) A new skew generalization of the normal distribution: properties and applications. Comput Stat Data Anal 54: 2021–2034

    Article  Google Scholar 

  • Gradshteyn IS, Ryzhik IM (2007) Table of integrals, series, and products. Academic Press, New York

    MATH  Google Scholar 

  • Jørgensen B (1982) Statistical properties of the generalized inverse Gaussian distribution. Springer, New York

    Book  Google Scholar 

  • Marshall AW, Olkin I (1997) A new method for adding a parameter to a family of distributions with application to the exponential and Weibull families. Biometrika 84: 641–652

    Article  MathSciNet  MATH  Google Scholar 

  • Mudholkar GS, Srivastava DK (1993) Exponentiated Weibull family for analyzing bathtub failure-rate data. IEEE Trans Reliab 42: 299–302

    Article  MATH  Google Scholar 

  • Murthy DNP, Xie M, Jiang R (2004) Weibull models. Wiley, New York

    MATH  Google Scholar 

  • Prudnikov AP, Brychkov YA, Marichev OI (1986) Integrals and series, vol 1. Gordon and Breach Science, Amsterdam

    MATH  Google Scholar 

  • Prudnikov AP, Brychkov YA, Marichev OI (1990) Integrals and series, volume 3: more special functions. Gordon and Breach Science, Amsterdam

    MATH  Google Scholar 

  • Ristić MM, Jose KK, Ancy J (2007) A Marshall–Olkin gamma distribution and minification process. Stress Anxiety Res Soc 11: 107–117

    Google Scholar 

  • Silva GO, Ortega EMM, Cordeiro GM (2010) The beta modified Weibull distribution. Lifetime Data Anal 16: 409–430

    Article  MathSciNet  Google Scholar 

  • Song KS (2001) Rényi information, loglikelihood and an intrinsic distribution measure. J Stat Plan Inference 93: 51–69

    Article  MATH  Google Scholar 

  • Wright EM (1935) The asymptotic expansion of the generalized hypergeometric function. J Lond Math Soc 10: 286–293

    Article  Google Scholar 

  • Xie M, Tang Y, Goh TN (2002) A modified Weibull extension with bathtub-shaped failure rate function. Reliab Eng Syst Saf 76: 279–285

    Article  Google Scholar 

  • Zhang T, Xie M (2007) Failure data analysis with extended Weibull distribution. Commun Stat Simul Comput 36:579–592

    Article  MathSciNet  MATH  Google Scholar 

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Correspondence to Artur J. Lemonte.

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Cordeiro, G.M., Lemonte, A.J. On the Marshall–Olkin extended Weibull distribution. Stat Papers 54, 333–353 (2013). https://doi.org/10.1007/s00362-012-0431-8

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  • DOI: https://doi.org/10.1007/s00362-012-0431-8

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