loading...
 This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
Changing Test and Data Modeling Requirements for Screening Latent Defects as Statistical Outliers
March/April 2006 (vol. 23 no. 2)
pp. 100-109
Ritesh P. Turakhia, Portland State University
W. Robert Daasch, Portland State University
Joel Lurkins, LSI Logic
Brady Benware, LSI Logic
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:
Ritesh P. Turakhia, W. Robert Daasch, Joel Lurkins, Brady Benware, "Changing Test and Data Modeling Requirements for Screening Latent Defects as Statistical Outliers," IEEE Design and Test of Computers, vol. 23, no. 2, pp. 100-109, Mar./Apr. 2006, doi:10.1109/MDT.2006.37
Usage of this product signifies your acceptance of the Terms of Use.