Reliability distributions

Birnbaum-Saunders
The Birnbaum-Saunders distribution [example] is defined by the pdf

   [distributions1][distributions2]

where alpha and beta are shape parameters, Birnabaum and Saunders (1969). In the BUGS language it is used as

         x ~ dbs(alpha, beta)


Burr X

The Burr X distribution [example] is defined by the pdf

      [distributions3]
where alpha is a shape parameter and lambda is a scale parameter, Surles and Padgett (2005). In the BUGS language it is used as

         x ~ dburrX(alpha, lambda)


Burr XII

The Burr XII distribution [example] is defined by the pdf

      [distributions4]

where alpha and beta are shape parameters, Klugman et al. (2004). In the BUGS language it is used as

      x ~ dburrXII(alpha, beta)


Exponential Power
The Exponential power distribution [example] is defined by the pdf

      [distributions5]

where alpha is a shape parameter and lambda a scale parameter, Smith and Bain (1975). In the BUGS language it is used as

      x ~ dexp.power(alpha, lambda)


Exponentiated Weibull
The Exponentiated Weibul distribution [example] is defined by the pdf

      [distributions6]
where alpha and theta are shape parameters, Mudholkar and Srivastava (1993). In the BUGS language it is used as
         
         x ~ dexp.weib(alpha, theta)


Extended Exponential
The Extended Exponential distribution [example] is defined by the pdf

      [distributions7]

where alpha is a shape parameter and lambda is a tilt parameter, Marshall and Olkin (1997, 2007). In the BUGS language it is used as

         x ~ dext.exp(alpha, lambda)


Extended Weibull
The Extended Weibull distribution [example] is defined by the pdf

      [distributions8]

where alpha is a shape parameter and lambda is a tilt parameter, Marshall and Olkin (1997, 2007). In the BUGS language it is used as

         x ~ dext.weib(alpha, lambda)


Flexible Weibull
The Flexible Weibull distribution [example] is defined by the pdf

      [distributions9]
      
where alpha and beta are shape parameters, Bebbington et al. (2007). In the BUGS language it is used as

         x ~ dflex.weib(alpha, beta)


Generalized Exponential
The Generalized Exponential distribution [example] is defined by the pdf

      [distributions10]

where alpha is a shape parameter and lambda is a scale parameter, Gupta and Kundu (1999, 2001). In the BUGS language it is used as

      x ~ dgen.exp(alpha, lambda)


Generalized Power Weibull
The Generalized Power Weibull distribution [example] is defined by the pdf

      [distributions11]

where alpha and theta are shape parameters, Nikulin and Haghighi (2006). In the BUGS language it is used as
      
      x ~ dgp.weib(alpha, theta)


Gompertz
The Gompertz distribution [example] is defined by the pdf

      [distributions12]

where alpha and theta are shape parameters, Marshall and Olkin (2007). In the BUGS language it is used as

      x ~ dgpz(alpha, theta)


Gumbel
The Gumbel distribution [example] is defined by the pdf

      [distributions13]

where alpha is a location parameter and tau is a scale parameter, Marshall and Olkin (2007). In the BUGS language it is used as

      x ~ dgumbel(alpha, tau)


Inverse Gaussian
The Inverse Gaussian distribution [example] is defined by the pdf

      [distributions14]

where mu is a location parameter and lambda is a scale parameter, Chhikara and Folks (1977). In the BUGS language it is used as

      x ~ dinv.gauss(mu, lambda)


Inverse Weibull
The Inverse Weibull distribution [example] is defined by the pdf

         [distributions15]

where beta is a shape parameter and lambda is a scale parameter, Jiang and Murthy (2001). In the BUGS language it is used as

      x ~ dinv.weib(beta, lambda)


Linear Failure Rate
The Linear Failure Rate distribution [example] is defined by the pdf

      [distributions16]

where alpha and beta are shape parameters. Bain (1974). In the BUGS language it is used as

      x ~ dlin.fr(alpha, beta)


Logistic Exponential
The Logistic Exponential distribution [example] is defined by the pdf

      [distributions17]

where alpha is a shape parameter and lambda is a scale parameter, Lan and Leemis (2008). In the BUGS language it is used as

      x ~ dlogistic.exp(alpha, lambda)


Log-logistic
The Log-Logistic distribution [example] is defined by the pdf

      [distributions18]

where beta is a shape parameter and theta is a scale parameter, Lawless (2003). In the BUGS language it is used as

      x ~ dlog.logis(beta, theta)


Log-Weibull
The Log-Weibull distribution [example] is defined by the pdf

      [distributions19]

where mu is a location parameter and sigma is a scale parameter, Murthy et al. (2004). In the BUGS language it is used as

      x ~ dlog.weib(mu, sigma)


Modified Weibull
The Modified Weibull distribution [example] is defined by the pdf

      [distributions20]

where alpha and beta are shape parameters and lambda is a scale parameter, Lai et al..(2003). In the BUGS language it is used as

      x ~ dweib.modified(alpha, beta, lambda)