Point estimation under asymmetric loss functions for left-truncated exponential samples R Calabria, G Pulcini Communications in Statistics-Theory and Methods 25 (3), 585-600, 1996 | 397 | 1996 |
An engineering approach to Bayes estimation for the Weibull distribution R Calabria, G Pulcini Microelectronics Reliability 34 (5), 789-802, 1994 | 210 | 1994 |
A mixed-Weibull regression model for the analysis of automotive warranty data L Attardi, M Guida, G Pulcini Reliability Engineering & System Safety 87 (2), 265-273, 2005 | 145 | 2005 |
On the maximum likelihood and least-squares estimation in the inverse Weibull distribution R Calabria, G Pulcini Statistica applicata 2 (1), 53-66, 1990 | 142 | 1990 |
Bayes 2-sample prediction for the inverse Weibull distribution R Calabria, G Pulcini Communications in Statistics-Theory and Methods 23 (6), 1811-1824, 1994 | 138 | 1994 |
Bayes inference for a non-homogeneous Poisson process with power intensity law M Guida, R Calabria, G Pulcini IEEE Transactions on Reliability 38 (5), 603-609, 1989 | 135 | 1989 |
A competing risk model for the reliability of cylinder liners in marine Diesel engines D Bocchetti, M Giorgio, M Guida, G Pulcini Reliability Engineering & System Safety 94 (8), 1299-1307, 2009 | 123 | 2009 |
An age-and state-dependent Markov model for degradation processes M Giorgio, M Guida, G Pulcini IIE Transactions 43 (9), 621-632, 2011 | 114 | 2011 |
Modeling the failure data of a repairable equipment with bathtub type failure intensity G Pulcini Reliability Engineering & System Safety 71 (2), 209-218, 2001 | 114 | 2001 |
A bounded intensity process for reliability of repairable equipment G Pulcini Journal of Quality Technology 33 (4), 480, 2001 | 77 | 2001 |
A state-dependent wear model with an application to marine engine cylinder liners M Giorgio, M Guida, G Pulcini Technometrics 52 (2), 172-187, 2010 | 73 | 2010 |
Confidence limits for reliability and tolerance limits in the inverse Weibull distribution R Calabria, G Pulcini Reliability Engineering & System Safety 24 (1), 77-85, 1989 | 71 | 1989 |
Automotive reliability inference based on past data and technical knowledge M Guida, G Pulcini Reliability Engineering & System Safety 76 (2), 129-137, 2002 | 57 | 2002 |
The inverse Gamma process: A family of continuous stochastic models for describing state-dependent deterioration phenomena M Guida, G Pulcini Reliability Engineering & System Safety 120, 72-79, 2013 | 50 | 2013 |
A new model for repairable systems with bounded failure intensity L Attardi, G Pulcini IEEE Transactions on Reliability 54 (4), 572-582, 2005 | 49 | 2005 |
A new class of Markovian processes for deteriorating units with state dependent increments and covariates M Giorgio, M Guida, G Pulcini IEEE Transactions on Reliability 64 (2), 562-578, 2015 | 46 | 2015 |
Inference and test in modeling the failure/repair process of repairable mechanical equipments R Calabria, G Pulcini Reliability Engineering & System Safety 67 (1), 41-53, 2000 | 46 | 2000 |
A Bayes procedure for estimation of current system reliability R Calabria, M Guida, G Pulcini IEEE Transactions on Reliability 41 (4), 616-620, 1992 | 45 | 1992 |
A time-discrete extended gamma process for time-dependent degradation phenomena M Guida, F Postiglione, G Pulcini Reliability Engineering & System Safety 105, 73–79, 2012 | 44 | 2012 |
Reliability analysis of mechanical systems with bounded and bathtub shaped intensity function M Guida, G Pulcini IEEE Transactions on Reliability 58 (3), 432-443, 2009 | 43 | 2009 |