SSADTService Specific Assured Data Transfer
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realizations of [[epsilon].sub.kij] ~ N(0, [[sigma].sup.2.sub.[epsilon]]) and mutually independent of [x.sub.kij] [7, 34] and [N.sub.k] is equal to N for all of the accelerated stresses of SSADT.
Owing to space constraints, this paper deals with the unknown parameter based on property (P2) in the case of CSADT and property (P1) in the case of SSADT.
Parameter Estimation of SSADT. The degradation process of SSADT shown as (18) is relatively complicated.
It is not to say that we can only use degradation for CSADT and increment for SSADT but just make an introduction to both of the two methods in the limited space.
For simplicity, the degradation model for SSADT proposed in this paper is referred to as [M.sub.0], the model presented by Tang et al.
Similarly, the proposed degradation model for SSADT in this paper is referred to as [M.sub.0], the model presented by Tang et al.
Because of the dependency between the diffusion parameter and stress variables, the degradation process is quite different, either for CSADT or for SSADT. The CSADP and SSADP with random effects are modeled.
Second, the degradation process was modeled for both CSADT and SSADT. Thirdly, the unknown parameters were estimated based on the two properties of Wiener process and the result of the MLE for [[sigma].sup.2.sub.[eta]] is discussed on two cases.
Caption: Figure 1: The simulation degradation paths of SSADT.