These sources collectively examine the strength and machinability of brittle materials, with a particular focus on dental CAD-CAM composites and ceramics. One key theme is the suitability of various statistical distributions, such as Weibull, normal, log-normal, and gamma, for accurately modeling the fracture behavior of these materials, questioning the exclusive reliance on Weibull distribution. The texts also address the impact of sample size on the reliability of statistical analyses and propose methods like leave-K-out cross-validation to enhance predictive power. Furthermore, research highlights the machinability differences between polymer-containing and ceramic-based CAD-CAM materials, noting that polymer composites generally exhibit faster milling rates and less chipping. Ultimately, the articles aim to identify optimal statistical approaches and material characteristics for better predicting and understanding the performance of these materials in structural and dental applications.

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