This article presents a statistical TCAD tool called Multilevel-Partitioned REsponse Surface Modelling (M-PRES) to model the impact of manufacturing process variations on circuit performance; an SRAM cell is used as a demonstration vehicle for the tool. A new non-Gaussian approach for modelling ...
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Single-cell omics is transforming our understanding of cell biology and disease, yet the systems-level analysis and interpretation of single-cell data faces many challenges. In this Perspective, we describe the impact that fundamental concepts from stati
In each case, the hypothesis anticipates a specific direction of the effect, making a one-tailed test a precise tool for testing that expectation. On the other hand, if your hypothesis is neutral and simply tests whether there is any difference or relationship, regardless of direction, you'll...
Assessing impact of borehole field data's input parameters on hybrid deep learning models for heating and cooling forecasting: A local and global explainab... patterns in CNN-LSTM-At, may not necessarily enhance their multistep forecasting capabilities for the borehole field data in comparison to...
Single-cell omics is transforming our understanding of cell biology and disease, yet the systems-level analysis and interpretation of single-cell data faces many challenges. In this Perspective, we describe the impact that fundamental concepts from stati
This applies both to established systems and to impact assessments of deliberate perioperative system design changes. METHODS: Statistical process control was originally developed to detect nonrandom variation in manufacturing processes by continuous comparison to previous performance. The authors applied the ...
This sort of simplification has been a useful research tool for me (for examplehereandhere), and it works for applied problems too. P.S.Pólya’s How to Solve It is a classic. Why hadn’t I read it before? Here’s why. Back when I was inmath olympiad, the coaches were always pus...
As mentioned in the Introduction Section, a further aim of this study consisted in the development of a numerical tool for the prediction of the defect rate. This question was tackled, combining the experimentally retrieved data of the statistical distributions, and considering the basic formula tha...
For simulation to be an effective tool for the development and testing of autonomous vehicles, the simulator must be able to produce realistic safety-critical scenarios with distribution-level accuracy. However, due to the high dimensionality of real-world driving environments and the rarity of long...