A PSEUDO-LIKELIHOOD ESTIMATION METHOD FOR NONHOMOGENEOUS GAMMA PROCESS MODEL WITH RANDOM EFFECTS

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An Inverse Gaussian Process Model for Degradation Data (2010, methodology): “Gamma processes and extensions of them have been studied as a useful degradation model (e.g., Singpurwalla and Youngren 1998; Bagdonavicius and Nikulin 2000; Lawless and Crowder 2004; Wang 2008), and the Wiener process model was also discussed in the literature and has been found useful to analyze d”
Stochastic modelling and analysis of degradation for highly reliable products (2015, methodology): “Wang [43] investigated pseudo-likelihood estimation for the Gamma process with Gamma-distributed random effects.”