Add to ORKGThis expository article shows how the maximum likelihood estimation method and the Newton-Raphson algorithm can be used to estimate the parameters of the power-law Poisson process model used to analyze data from repairable systems
The power law process (PLP) (i.e., the nonhomogeneous Poisson process with power intensity law) is p...
Abstract: The failure pattern of repairable mechanical equipment subject to deterioration phenomena...
Texto completo: acesso restrito. p. 1151–1160Statistical models for recurrent events are of great in...
This expository article shows how the maximum likelihood estimation method and the Newton-Raphson al...
The power-law non-homogeneous Poisson process, also called the Crow-AMSAA model, is often used to mo...
The nonhomogeneous Poisson process is commonly used in the modeling of failure times of complex repa...
For a minimally repaired system, whose failure process is described by a non-homogeneous Poisson pro...
Texto completo. Acesso restrito. p. 113–124Consider a repairable system operating under a maintenanc...
The properties of the algorithm estimates of parameter of harmonic intensity for nonstationary Poiss...
Fitting models to failure data is an important topic in reliability. The resulting models can be use...
This paper looks into the Bayesian approach for analyzing and selecting the best Poisson process mod...
Non-homogeneous Poisson Process (NHPP) models form a significant subclass of the many software relia...
The basic repair rate models for repairable systems may be homogeneous Poisson processes, renewal pr...
In this paper a nonparametric approach is used to find estimates of certain parameters in non-homoge...
Maximum Likelihood Estimation for Poisson Distribution and its Numerical Solution by Newton-Raphson ...
The power law process (PLP) (i.e., the nonhomogeneous Poisson process with power intensity law) is p...
Abstract: The failure pattern of repairable mechanical equipment subject to deterioration phenomena...
Texto completo: acesso restrito. p. 1151–1160Statistical models for recurrent events are of great in...
This expository article shows how the maximum likelihood estimation method and the Newton-Raphson al...
The power-law non-homogeneous Poisson process, also called the Crow-AMSAA model, is often used to mo...
The nonhomogeneous Poisson process is commonly used in the modeling of failure times of complex repa...
For a minimally repaired system, whose failure process is described by a non-homogeneous Poisson pro...
Texto completo. Acesso restrito. p. 113–124Consider a repairable system operating under a maintenanc...
The properties of the algorithm estimates of parameter of harmonic intensity for nonstationary Poiss...
Fitting models to failure data is an important topic in reliability. The resulting models can be use...
This paper looks into the Bayesian approach for analyzing and selecting the best Poisson process mod...
Non-homogeneous Poisson Process (NHPP) models form a significant subclass of the many software relia...
The basic repair rate models for repairable systems may be homogeneous Poisson processes, renewal pr...
In this paper a nonparametric approach is used to find estimates of certain parameters in non-homoge...
Maximum Likelihood Estimation for Poisson Distribution and its Numerical Solution by Newton-Raphson ...
The power law process (PLP) (i.e., the nonhomogeneous Poisson process with power intensity law) is p...
Abstract: The failure pattern of repairable mechanical equipment subject to deterioration phenomena...
Texto completo: acesso restrito. p. 1151–1160Statistical models for recurrent events are of great in...