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Gianpaolo Pulcini
Gianpaolo Pulcini
retired Dirigente di Ricerca, Istituto STEMS, CNR
Verified email at cnr.it
Title
Cited by
Cited by
Year
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
3831996
An engineering approach to Bayes estimation for the Weibull distribution
R Calabria, G Pulcini
Microelectronics Reliability 34 (5), 789-802, 1994
2071994
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
1432005
On the maximum likelihood and least-squares estimation in the inverse Weibull distribution
R Calabria, G Pulcini
Statistica applicata 2 (1), 53-66, 1990
1371990
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
1361989
Bayes 2-sample prediction for the inverse Weibull distribution
R Calabria, G Pulcini
Communications in Statistics-Theory and Methods 23 (6), 1811-1824, 1994
1351994
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
1212009
Modeling the failure data of a repairable equipment with bathtub type failure intensity
G Pulcini
Reliability Engineering & System Safety 71 (2), 209-218, 2001
1152001
An age-and state-dependent Markov model for degradation processes
M Giorgio, M Guida, G Pulcini
IIE Transactions 43 (9), 621-632, 2011
1122011
A bounded intensity process for reliability of repairable equipment
G Pulcini
Journal of Quality Technology 33 (4), 480, 2001
782001
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
732010
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
681989
Automotive reliability inference based on past data and technical knowledge
M Guida, G Pulcini
Reliability Engineering & System Safety 76 (2), 129-137, 2002
552002
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
482013
A new model for repairable systems with bounded failure intensity
L Attardi, G Pulcini
IEEE Transactions on Reliability 54 (4), 572-582, 2005
472005
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
462000
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
442015
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
442012
A Bayes procedure for estimation of current system reliability
R Calabria, M Guida, G Pulcini
IEEE Transactions on Reliability 41 (4), 616-620, 1992
431992
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
412009
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