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Quality Engineering Volume 13, 2000 - Issue 2
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Original Articles

THREE APPROACHES TO ANALYZE QUALITY DATA ORIGINATING IN NON-NORMAL POPULATIONS

Haim Shore Department of Industrial Engineering, Faculty of the Engineering Science, Ben-Gurion University of the Negev, P.O.B. 653, Beer-Sheva, 84105, Israel
Pages 277-291 | Published online: 03 Apr 2007

Citations (5)

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Read on this site (2)

H Shore. (2004) A general solution for the newsboy model with random order size and possibly a cutoff transaction size. Journal of the Operational Research Society 55:11, pages 1218-1228.
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Haim Shore. (2002) Modeling a Response with Self-Generated and Externally Generated Sources of Variation. Quality Engineering 14:4, pages 563-578.
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Articles from other publishers (3)

Djoko Setijono. (2010) Normal approximation through data replication when estimating DisPMO, DePMO, left‐side and right‐side Sigma levels from non‐normal data. International Journal of Quality & Reliability Management 27:3, pages 318-332.
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Haim Shore. (2004) Non‐normal Populations in Quality Applications: a Revisited Perspective. Quality and Reliability Engineering International 20:4, pages 375-382.
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Haim Shore. (2003) Response Modeling Methodology Validating Evidence from Engineering and the Sciences. Quality and Reliability Engineering International 20:1, pages 61-79.
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