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» Parametric Yield Analysis of Mems via Statistical Methods
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CORR
2007
Springer
95views Education» more  CORR 2007»
13 years 4 months ago
Parametric Yield Analysis of Mems via Statistical Methods
This paper considers a developing theory on the effects of inevitable process variations during the fabrication of MEMS and other microsystems. The effects on the performance and ...
Shyam Praveen Vudathu, Kishore K. Duganapalli, Rai...
ISQED
2007
IEEE
372views Hardware» more  ISQED 2007»
13 years 11 months ago
From Finance to Flip Flops: A Study of Fast Quasi-Monte Carlo Methods from Computational Finance Applied to Statistical Circuit
Problems in computational finance share many of the characteristics that challenge us in statistical circuit analysis: high dimensionality, profound nonlinearity, stringent accura...
Amith Singhee, Rob A. Rutenbar
BMCBI
2005
212views more  BMCBI 2005»
13 years 4 months ago
PAGE: Parametric Analysis of Gene Set Enrichment
Background: Gene set enrichment analysis (GSEA) is a microarray data analysis method that uses predefined gene sets and ranks of genes to identify significant biological changes i...
Seon-Young Kim, David J. Volsky
TSP
2011
170views more  TSP 2011»
12 years 11 months ago
Model Selection for Sinusoids in Noise: Statistical Analysis and a New Penalty Term
—Detection of the number of sinusoids embedded in noise is a fundamental problem in statistical signal processing. Most parametric methods minimize the sum of a data fit (likeli...
Boaz Nadler, Leonid Kontorovich
SADM
2010
141views more  SADM 2010»
12 years 11 months ago
A parametric mixture model for clustering multivariate binary data
: The traditional latent class analysis (LCA) uses a mixture model with binary responses on each subject that are independent conditional on cluster membership. However, in many pr...
Ajit C. Tamhane, Dingxi Qiu, Bruce E. Ankenman