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Reducing the impact of missing values in factorial experiments arranged in blocks
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Reducing the impact of missing values in factorial experiments arranged in blocks

QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL, Vol.22(6), pp.669-682
5th Annual Meeting of the European-Network-of-Business-and-Industrial-Statistics (Newcastle upon Tyne, ENGLAND, 09/2005)
01/10/2006

Abstract

Science & Technology Technology Engineering Multidisciplinary Engineering Industrial Operations Research & Management Science Engineering ENGINEERING INDUSTRIAL ENGINEERING MULTIDISCIPLINARY OPERATIONS RESEARCH & MANAGEMENT SCIENCE analysis of variance associate values confounding connected design estimable effects factorial experiments observation loss rank deficiency rank reducing observation sets staircase partitioning
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