- Bain , L. J. and Engelhardt , M. 1980 . Inferences on the parameters and current system reliability for a time truncated Weibull process . Technometrics , 22 : 421 – 426 .
- Bar-lev , S. K. , Lavi , I. and Reiser , B. 1992 . Bayesian inference for the power law process . Annals of Institute of Statistical Mathematics , 44 : 623 – 639 .
- Beiser , J. A. and Rigdon , S. 1997 . Bayes prediction for the number of failures of a repairable system . IEEE Transactions on Reliability , 46 : 291 – 295 .
- Bhartacharya , G. K. and Ghosh , J. K. 1991 . Asymptotic properties of estimators in a binomial reliability growth model and its continuous-time analog . Journal of Statistical Planning and Inference , 29 : 43 – 53 .
- Calabria , R. , Guida , M. and Pulcini , G. 1988 . Some modified maximum likelihood estimators for the Weibull process . Reliability Engineering and System Safety , 23 : 51 – 58 .
- Calabria , R. , Guida , M. and Pulcini , G. 1990 . Bayes estimation of prediction intervals for a power law process . Communications in Statistics -- Theory and Methods , 19 : 3023 – 3035 .
- Calabria , R. and Pulcini , G. 1996 . Maximum likelihood and Bayes prediction of current system lifetime . Communications in Statistics--Theory and Methods , 25 : 2297 – 2309 .
- Crow , L. H. 1974 . “ Reliability analysis for complex repairable systems ” . In Reliability and Biometry Edited by: Proschan , F. and Serfling , R. J. 379 – 410 .
- Crow , L. H. 1982 . Confidence interval procedures for the Weibull process with applications to reliability growth . Technometrics , 24 : 67 – 72 .
- Dempster , A. P. , Laird , N. M. and Rubin , D. B. 1977 . Maximum likelihood from incomplete data via the EM algorithm . Journal of Royal Statistical Society, Series B , 39 : 1 – 38 .
- Duane , J. T. 1964 . Learning curve approach to reliability monitoring . IEEE Transactions on Aerospace , 2 : 563 – 566 .
- Gelfand , A. E. and Smith , A. F. M. 1990 . Sampling-based approaches to calculating marginal densities . Journal of the American Statistical Association , 85 : 398 – 409 .
- Ghosh , M. and Sen , P. K. 1991 . Bayesian Pitman closeness . Communications in Statistics -- Theory and Methods. , 20 : 3729 – 3750 .
- Gilks , W. R. and Wild , P. 1992 . Adaptive rejection sampling for Gibbs sampling . Applied Statistics. , 41 : 337 – 348 .
- Guida , M. , Calabria , R. and Pulcini , G. 1989 . Bayes inference for a non-homogeneous Poisson process with power intensity law . IEEE Transactions on Reliability , 38 : 603 – 609 .
- Higgins , J. J. and Tsokos , C. P . 1981 . A quasi-Bayes estimate of the failure intensity of a reliability growth model . IEEE Transactions on Reliability , R-30 : 471 – 475 .
- Kuo , L. and Yang , T. Y. 1996 . Bayesian computation for nonhomogeneous Poisson processes in software reliability . Journal of the American Statistical Association , 91 : 763 – 773 .
- Kyparisis , J. and Singpurwalla , N. 1983 . “ Bayesian inference for the Weibull process with applications to assessing software reliability growth and predicting software failures ” . In Computer Science and Statistics: the Interface Edited by: Billard , L. 57 – 64 .
- Lee , L. and Lee , S. K. 1978 . Some results on inference for the Weibull process . Technometrics , 20 : 41 – 45 .
- Lingham , R. T. and Sivaganesan , S. 1997 . Testing hypotheses about the power law process under failure truncation using intrinsic Bayes factors . Annals of Institute of Statistical Mathematics , 49 : 693 – 710 .
- Qiao , H. and Tsokos , C. P. 1998 . Best efficient estimates of the intensity function of the power law process . Journal of Applied Statistics , 25 : 111 – 120 .
- Rigdon , S. E. and Basu , A. P. 1988 . Estimating the intensity function of a Weibull process at the current time: failure truncatsd case . Journal of Statistical Computation and Simulation , 30 : 17 – 38 .
- Rigdon , S. E. and Basil , A. P. 1990 . Estimating the intensity function of a power law process at the current time: time truncated case . Communications in Statistics Simulation , 19 : 1079 – 1104 .
- Rigdon , S. E. and Basu , A. P. 2000 . Statistical Methods for the Reliability of Repairable Systems , New York : John Wiley and Sons .
- Sen , A. and Khattree , R. 1998 . On estimating the current intensity of failure for the power-law process . Journal of Statistical Planning and Inference , 74 : 253 – 272 .
- Sinha , B. K. and Ghosh , M. 1987 . Inadmissibility of the best equivariant estimators of the variance-covariance matrix and the generalized variance under entropy loss . Statistics and Decisions , 5 : 201 – 227 .
- Smith , A. F. M. and Gelfand , A. H. 1992 . Bayesian statistics without tears: a sampling- resampling perspective . The American Statistician , 46 : 84 – 88 .
- Sweeting , T. J. and Phillips , M. J. 1995 . An application of nonstandard asymptotics to the analysis of repairable-systems data . Technometrics , 37 : 428 – 435 .
- Trirer , D. A. and Phillips , M. J. The reliability of equipment fitted to a fleet of ships . Proceedings of the 9th Advances in Reliability Technology Symposium . Bradford Warrington, UK. Atomic Energy Authority .
- Varian , H. R. 1975 . “ A Bayesian approach to real estate assessment ” . In Studies in Baresian Econometrics and Statistics, in Honor of L. J. Savage , Edited by: Fienberg , E. and Zelner , A. 195 – 208 . North-Holland : Amsterdam .
- Zellner , A. 1986 . Bayesian estimation and prediction using asymmetric loss functions . Journal of the American Statistical Association , 81 : 446 – 451 .
Journal of Statistical Computation and Simulation
Volume 72, 2002 - Issue 8