Title of article :
The Beta Generalized Weibull distribution: Properties and applications
Author/Authors :
Neetu Singla، نويسنده , , Kanchan Jain، نويسنده , , Suresh Kumar Sharma، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2012
Abstract :
A five-parameter distribution called Beta Generalized Weibull (BGW) distribution is introduced. Beta Generalized Exponential (BGE), Beta Weibull (BW), Generalized or Exponentiated Weibull (GW or EW), Generalized Rayleigh (GR), Beta Exponential (BE), Generalized Exponential (GE), Weibull, Rayleigh and Exponential are its sub models. The cumulative distribution function (cdf) and the probability density function (pdf) have been expressed as mixtures of the Generalized Weibull cdfs and pdfs. The kth order moment has been derived. The non-linear equations for deriving the maximum likelihood estimators and the elements of the observed information matrix are presented. The distribution is found to be superior to the existing sub models on being fitted to two real data sets.
Keywords :
Weibull , Generalized Weibull distribution , Beta Weibull distribution , Maximum likelihood estimation (MLE) , Information matrix
Journal title :
Reliability Engineering and System Safety
Journal title :
Reliability Engineering and System Safety