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Figure 6 Performance of the proposed tracking method with random sensor node deployment.
In order to verify the transformation model, the processing method with random censoring data is used.
In addition, the effectiveness of the transformation model is finally verified by a processing method with random censoring data.
With respect to convergence speed, the proposed method with random scheduling converges faster than that with simultaneous scheduling.
A new heuristic that combines a forward and backward method with random and best-improving is presented.
Modal information of composite plates is statistically evaluated by the discrete singular convolution method with random boundary conditions.
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Stratified aggregate analyses were conducted for undifferentiated diabetes, type 1 diabetes, and type 2 diabetes with the generic inverse variance method with random-effects models.
The MARS (MA-plot-based method with random-sampling model) module in the DEGseq package was used to calculate the differential expression of each contig between the analyzed samples [ 40].
By contrast, (multi-point) Gaussianity may be lost at the smaller length scales when one uses methods with random wave numbers.
Relative risk for incident falls will be estimated from age-adjusted and multivariate-adjusted models, performed using Cox proportional hazards methods with random effects to account for possible dependence of individuals within the same census blocks [ 96, 97].
Only the Poisson regression methods with random intervention effects estimate \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document} $\hat {\sigma }_{i}$\end{document } σ ^ i.
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