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Exponentiated Weibull distribution

In statistics, the exponentiated Weibull family of probability distributions was introduced by Mudholkar and Srivastava (1993) as an extension of the Weibull family obtained by adding a second shape parameter.

The cumulative distribution function for the exponentiated Weibull distribution is

for x > 0, and F(xk; λ; α) = 0 for x < 0. Here k > 0 is the first shape parameter, α > 0 is the second shape parameter and λ > 0 is the scale parameter of the distribution.

The density is

There are two important special cases:

Background edit

The family of distributions accommodates unimodal, bathtub shaped*[1] and monotone failure rates. A similar distribution was introduced in 1984 by Zacks, called a Weibull-exponential distribution (Zacks 1984). Crevecoeur introduced it in assessing the reliability of ageing mechanical devices and showed that it accommodates bathtub shaped failure rates (1993, 1994). Mudholkar, Srivastava, and Kollia (1996) applied the generalized Weibull distribution to model survival data. They showed that the distribution has increasing, decreasing, bathtub, and unimodal hazard functions. Mudholkar, Srivastava, and Freimer (1995), Mudholkar and Hutson (1996) and Nassar and Eissa (2003) studied various properties of the exponentiated Weibull distribution. Mudholkar et al. (1995) applied the exponentiated Weibull distribution to model failure data. Mudholkar and Hutson (1996) applied the exponentiated Weibull distribution to extreme value data. They showed that the exponentiated Weibull distribution has increasing, decreasing, bathtub, and unimodal hazard rates. The exponentiated exponential distribution proposed by Gupta and Kundu (1999, 2001) is a special case of the exponentiated Weibull family. Later, the moments of the EW distribution were derived by Choudhury (2005). Also, M. Pal, M.M. Ali, J. Woo (2006) studied the EW distribution and compared it with the two-parameter Weibull and gamma distributions with respect to failure rate.

References edit

  1. ^ "System evolution and reliability of systems". Sysev (Belgium). 2010-01-01.
  • Choudhury, A. (2005). "A Simple Derivation of Moments of the Exponentiated Weibull Distribution". Metrika. 62 (1): 17–22. doi:10.1007/s001840400351.
  • Crevecoeur, G.U. (1993). "A model for the Integrity Assessment of Ageing Repairable Systems". IEEE Transactions on Reliability. 42 (1): 148–155. doi:10.1109/24.210287.
  • Crevecoeur, G.U. (1994). "Reliability assessment of ageing operating systems". European Journal of Mechanical Engineering. 39 (4): 219–228.
  • Liu, J.; Wang, Y. (2013). "On Crevecoeur's bathtub-shaped failure rate model". Computational Statistics & Data Analysis. 57 (1): 645–660. doi:10.1016/j.csda.2012.08.002.
  • Mudholkar, G.S.; Hutson, A.D. (1996). "The exponentiated Weibull family: some properties and a flood data application". Communications in Statistics - Theory and Methods. 25: 3059–3083. doi:10.1080/03610929608831886.
  • Mudholkar, G.S.; Srivastava, D.K. (1993). "Exponentiated Weibull family for analyzing bathtub failure-ratedata". IEEE Transactions on Reliability. 42 (2): 299–302. doi:10.1109/24.229504.
  • Mudholkar, G.S.; Srivastava, D.K.; Freimer, M. (1995). "The exponentiated Weibull family; a reanalysis of the bus motor failure data". Technometrics. 37 (4): 436–445. doi:10.2307/1269735. JSTOR 1269735.
  • Nassar, M.M.; Eissa, F.H. (2003). "On the exponentiated Weibull distribution". Communications in Statistics - Theory and Methods. 32: 1317–1336. doi:10.1081/STA-120021561.
  • Pal, M.; Ali, M.M.; Woo, J. (2006). "Exponentiated Weibull distribution". Statistica. 66 (2): 139–147.
  • Zacks, S. (1984). "Estimating the Shift to Wear-Out of Systems Having Exponential-Weibull Life Distributions". Operations Research. 32 (3): 741–749. doi:10.1287/opre.32.3.741.

Further reading edit

  • Nadarajah, S.; Gupta, A.K. (2005). "On the Moments of the Exponentiated Weibull Distribution". Communications in Statistics - Theory and Methods. 34 (2): 253–256. doi:10.1081/STA-200047460.

exponentiated, weibull, distribution, statistics, exponentiated, weibull, family, probability, distributions, introduced, mudholkar, srivastava, 1993, extension, weibull, family, obtained, adding, second, shape, parameter, cumulative, distribution, function, e. In statistics the exponentiated Weibull family of probability distributions was introduced by Mudholkar and Srivastava 1993 as an extension of the Weibull family obtained by adding a second shape parameter The cumulative distribution function for the exponentiated Weibull distribution is F x k l a 1 e x l k a displaystyle F x k lambda alpha left 1 e x lambda k right alpha for x gt 0 and F x k l a 0 for x lt 0 Here k gt 0 is the first shape parameter a gt 0 is the second shape parameter and l gt 0 is the scale parameter of the distribution The density is f x k l a a k l x l k 1 1 e x l k a 1 e x l k displaystyle f x k lambda alpha alpha frac k lambda left frac x lambda right k 1 left 1 e x lambda k right alpha 1 e x lambda k There are two important special cases a 1 gives the Weibull distribution k 1 gives the exponentiated exponential distribution Background editThe family of distributions accommodates unimodal bathtub shaped 1 and monotone failure rates A similar distribution was introduced in 1984 by Zacks called a Weibull exponential distribution Zacks 1984 Crevecoeur introduced it in assessing the reliability of ageing mechanical devices and showed that it accommodates bathtub shaped failure rates 1993 1994 Mudholkar Srivastava and Kollia 1996 applied the generalized Weibull distribution to model survival data They showed that the distribution has increasing decreasing bathtub and unimodal hazard functions Mudholkar Srivastava and Freimer 1995 Mudholkar and Hutson 1996 and Nassar and Eissa 2003 studied various properties of the exponentiated Weibull distribution Mudholkar et al 1995 applied the exponentiated Weibull distribution to model failure data Mudholkar and Hutson 1996 applied the exponentiated Weibull distribution to extreme value data They showed that the exponentiated Weibull distribution has increasing decreasing bathtub and unimodal hazard rates The exponentiated exponential distribution proposed by Gupta and Kundu 1999 2001 is a special case of the exponentiated Weibull family Later the moments of the EW distribution were derived by Choudhury 2005 Also M Pal M M Ali J Woo 2006 studied the EW distribution and compared it with the two parameter Weibull and gamma distributions with respect to failure rate References edit System evolution and reliability of systems Sysev Belgium 2010 01 01 Choudhury A 2005 A Simple Derivation of Moments of the Exponentiated Weibull Distribution Metrika 62 1 17 22 doi 10 1007 s001840400351 Crevecoeur G U 1993 A model for the Integrity Assessment of Ageing Repairable Systems IEEE Transactions on Reliability 42 1 148 155 doi 10 1109 24 210287 Crevecoeur G U 1994 Reliability assessment of ageing operating systems European Journal of Mechanical Engineering 39 4 219 228 Liu J Wang Y 2013 On Crevecoeur s bathtub shaped failure rate model Computational Statistics amp Data Analysis 57 1 645 660 doi 10 1016 j csda 2012 08 002 Mudholkar G S Hutson A D 1996 The exponentiated Weibull family some properties and a flood data application Communications in Statistics Theory and Methods 25 3059 3083 doi 10 1080 03610929608831886 Mudholkar G S Srivastava D K 1993 Exponentiated Weibull family for analyzing bathtub failure ratedata IEEE Transactions on Reliability 42 2 299 302 doi 10 1109 24 229504 Mudholkar G S Srivastava D K Freimer M 1995 The exponentiated Weibull family a reanalysis of the bus motor failure data Technometrics 37 4 436 445 doi 10 2307 1269735 JSTOR 1269735 Nassar M M Eissa F H 2003 On the exponentiated Weibull distribution Communications in Statistics Theory and Methods 32 1317 1336 doi 10 1081 STA 120021561 Pal M Ali M M Woo J 2006 Exponentiated Weibull distribution Statistica 66 2 139 147 Zacks S 1984 Estimating the Shift to Wear Out of Systems Having Exponential Weibull Life Distributions Operations Research 32 3 741 749 doi 10 1287 opre 32 3 741 Further reading editNadarajah S Gupta A K 2005 On the Moments of the Exponentiated Weibull Distribution Communications in Statistics Theory and Methods 34 2 253 256 doi 10 1081 STA 200047460 Retrieved from https en wikipedia org w index php title Exponentiated Weibull distribution amp oldid 994115314, wikipedia, wiki, book, books, library,

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