- This is the code for the paper : Yan, B., Wang, H., & Ma, X. (2023). Modeling left-truncated degradation data using random drift-diffusion Wiener processes. Quality Technology & Quantitative Management, 1-24.
- MATLAB R2020a
- GaAs_Laser.xlsx is an open-source laser degradation data set provided by William Q. Meeker
- EM_main.m is the main function for the EM algorithm. See technical details in Section 3.2 and Supplementary S.1 of the paper
- guess_EM.m provides the educated initial values of model parameters in the EM algorithm. See technical details in Supplementary S.1 of the paper
- ig_likeli.m calculates the log-likelihood function of the Inverse Gaussian distribution
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partial_likeli_tau.m calculates the partial log-likelihood function of the truncation time parameter
$\tau$ . See details in Equation (12) of the paper - subplots.m fills the figure with axes subplots with easily adjustable margins and gaps between the axes. This is an open-source code provided by Pekka Kumpulainen
- Email me if you have any questions: yanbingxin124@163.com