شماره ركورد كنفرانس :
3140
عنوان مقاله :
Generalized Weibull - Geometric Distribution
عنوان به زبان ديگر :
Generalized Weibull - Geometric Distribution
پديدآورندگان :
Bidram H نويسنده Department of Statistics - University of Isfahan , Alamatsaz M.H نويسنده Department of Statistics - University of Isfahan , Nekoukhouo V نويسنده Department of Statistics - University of Isfahan - Khansar unit - Isfahan
كليدواژه :
beta , Weibull distribution , Failure Rate , Logconvexity , Maximum likelihood estimation , Resilience parameter family , Weihullgeometric distribution , Logcongavity
عنوان كنفرانس :
يازدهمين كنفرانس آمار ايران
چكيده لاتين :
In this paper, we shall attempt to generalize the Weibull-geometric distribution of Barreto-Souza et al. (2011) using resilience partimeter family. The new four-parameter lifetime distribution also generalizes the generalized exponential geometric distribution of Silva et al. (2010), exponentiated Weibull, and several other lifetime distributions as special Cases. A useful characteristic of the new distribution is that its failure rate function can have different shapes. We first study certain basic distributional properties of the new distribution. The model parameters are estimated by the maximum likelihood method. Finally, the model is applied to a real data set and its advantage over some rival models is illustrated
شماره مدرك كنفرانس :
4219389
