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Issue No.02 - March/April (2006 vol.23)
pp: 100-109
W. Robert Daasch , Portland State University
Joel Lurkins , LSI Logic
Ritesh P. Turakhia , Portland State University
ABSTRACT
Editor's note: An emerging opportunity is to use statistical analysis of parametric measurements to improve the effectiveness and efficiency of testing and reliability defect stressing. In this article, the authors propose a "statistical testing" framework that combines testing, analysis, and optimization to identify latent-defect signatures --Phil Nigh, IBM Microelectronics
INDEX TERMS
reliability, statistical outlier screening, data modeling, adaptive testing
CITATION
W. Robert Daasch, Joel Lurkins, Ritesh P. Turakhia, "Changing Test and Data Modeling Requirements for Screening Latent Defects as Statistical Outliers", IEEE Design & Test of Computers, vol.23, no. 2, pp. 100-109, March/April 2006, doi:10.1109/MDT.2006.37
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