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Communications in Statistics - Simulation and Computation Volume 27, 1998 - Issue 2
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Original Articles

Approximating an unknown distribution when distribution information is extremely limited

Haim Shore Department of Industrial Engineering and Management, Faculty of Engineering Science, Ben-Gurion University of the Negev, P.O.B. 653, Beer-Sheva, 84105 E-mail: [email protected]
Pages 501-523 | Received 01 Sep 1996, Published online: 12 May 2011

Citations (5)

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Read on this site (2)

Haim Shore. (2006) Control charts for the queue length in a G/G/S system. IIE Transactions 38:12, pages 1117-1130.
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Haim Shore. (2000) THREE APPROACHES TO ANALYZE QUALITY DATA ORIGINATING IN NON-NORMAL POPULATIONS. Quality Engineering 13:2, pages 277-291.
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Articles from other publishers (3)

Edwards A. Silver, David F. Pyke & Douglas J. Thomas. 2016. Inventory and Production Management in Supply Chains. Inventory and Production Management in Supply Chains 73 142 .
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. 2001. Frontiers in Statistical Quality Control 6. Frontiers in Statistical Quality Control 6 194 206 .

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