Bayesian estimation and prediction for the transformed gamma degradation process

[1]  R. Calabria,et al.  An engineering approach to Bayes estimation for the Weibull distribution , 1994 .

[2]  Maurizio Guida,et al.  An age- and state-dependent Markov model for degradation processes , 2011 .

[3]  Gianpaolo Pulcini,et al.  A condition-based maintenance policy for deteriorating units. An application to the cylinder liners of marine engine , 2015 .

[4]  Maurizio Guida,et al.  A New Class of Markovian Processes for Deteriorating Units With State Dependent Increments and Covariates , 2015, IEEE Transactions on Reliability.

[5]  Andrew Thomas,et al.  The BUGS project: Evolution, critique and future directions , 2009, Statistics in medicine.

[6]  Gianpaolo Pulcini,et al.  A continuous-state Markov model for age- and state-dependent degradation processes , 2011 .

[7]  S. Varde.  Life Testing and Reliability Estimation for the Two Parameter Exponential Distribution , 1969 .

[8]  Andrew Gelman,et al.  R2WinBUGS: A Package for Running WinBUGS from R , 2005 .

[9]  M. Abdel-Hameed.  A Gamma Wear Process , 1975, IEEE Transactions on Reliability.

[10]  E. Lehmann.  Some Concepts of Dependence , 1966 .

[11]  R. Calabria,et al.  Point estimation under asymmetric loss functions for left-truncated exponential samples , 1996 .

[12]  Luis Alberto Rodríguez-Picón,et al.  Reliability analysis for electronic devices using beta-Weibull distribution , 2017, Qual. Reliab. Eng. Int..

[13]  Andrew Thomas,et al.  WinBUGS - A Bayesian modelling framework: Concepts, structure, and extensibility , 2000, Stat. Comput..