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Volumn 2005, Issue , 2005, Pages 313-322

Data-driven models for statistical testing: Measurements, estimates and residuals

Author keywords

[No Author keywords available]

Indexed keywords

DATA-DRIVEN MODEL; DEEP-SUBMICRON SEMICONDUCTOR; HEALTHY RESPONSE;

EID: 33847152063     PISSN: 10893539     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/TEST.2005.1583989     Document Type: Conference Paper
Times cited : (16)

References (13)
  • 7
    • 1542300255 scopus 로고    scopus 로고
    • Parametric Variation or Defects? Statistical Post-Processing Analysis of Wafer-Sort Data
    • Nov
    • W.R. Daasch, "Parametric Variation or Defects? Statistical Post-Processing Analysis of Wafer-Sort Data," International Symposium for Testing and Failure Analysis, pp. 302-307, Nov 2002.
    • (2002) International Symposium for Testing and Failure Analysis , pp. 302-307
    • Daasch, W.R.1
  • 13
    • 0033748681 scopus 로고    scopus 로고
    • T.J. Powell, J. Pair, M. S. John, and D. Council, Delta IDDQ for Testing Reliability, Proceedings VLSI Test Symposium, pp. 439-443, April 2000.
    • T.J. Powell, J. Pair, M. S. John, and D. Council, "Delta IDDQ for Testing Reliability," Proceedings VLSI Test Symposium, pp. 439-443, April 2000.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.