A new deformable shape model is defined with the following properties: (1) A-priori knowledge describes shapes not only by statistical variation of a fixed structure like active shape/appearance model but also by variability of structure using a production system. (2) Multi-resolution description of shape structures enable more constrained statistical variation of shape as the model evolves in ...

In this paper, we present a comprehensive TCAD methodology for analyzing the effects of process variation on circuit functionality. We will highlight two essential features of this methodology. First, we will describe the statistical approach we have adopted for worst case file (WCF) analysis in the presence of on-chip variation (OCV). Secondly, we will summarize some key new TCAD statistical m...

In this article we emphasize the manner in which this statistical indicator the variation coefficient (v) could help the inference on measurable characteristics generated by technological processes. Our interest lies upon the so-called SPCStatistical Process Control; the main result obtained is the following: if the coefficient of variation is known, then the statistical distribution of capabil...

Keywords: Baskakov-Szász operators Modulus of continuity Asymptotic formula Simultaneous approximation Statistical convergence Bounded variation a b s t r a c t In the present paper, we introduce generalized Baskakov-Szász type operators and study some approximation properties of these operators e.g., rate of convergence in ordinary and simultaneous approximation, statistical convergence and th...

Various sources of variation in observed response in clinical trials and clinical practice are considered, and ways in which the corresponding components of variation might be estimated are discussed. Although the issues have been generally well-covered in the statistical literature, they seem to be poorly understood in the medical literature and even the statistical literature occasionally sho...

Deformations that occur between pre-operative scans and the intra-operative setup can render pre-operative plans inaccurate or even unusable. It is therefore important to predict such deformations and account for them in pre-operative planning. This paper examines two different, yet related methodologies for this task, both of which collect statistical information from a training set in order t...

Aging effect degrades circuit performance in the runtime, interacts with fabrication-induced device parameter variation, and thus posing significant impact on circuit lifetime reliability. In this work, a statistical circuit optimization flow is proposed to ensure lifetime reliability of the manufactured chip in the presence of process variation and aging effects. It exploits a variation-aware ...