2016
DOI: 10.1080/01621459.2015.1114949
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A Link Between theE-Value and the Robustness of Block Designs

Abstract: Robustness of binary incomplete block designs against giving rise to a disconnected design in the event of observation loss is investigated. A link is established between the E-value of a planned design and the extent of observation loss that can be experienced whilst still guaranteeing an eventual design from which all treatment contrasts can be estimated. Patterns of missing observations covered include loss of entire blocks and loss of individual observations. Simple bounds are provided enabling practitione… Show more

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Cited by 1 publication
(3 citation statements)
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“…A design in Dυ,-0.166667emb,-0.166667emk with largest E ‐value is E‐optimal in the class. Godolphin () derived a lower bound for t * in terms of μ :minfalse{T,rfalse}t*,where ⌈ x ⌉ denotes the ceiling of x andT=8μk2false(υkfalse)υ(2k21+(1)k).…”
Section: Preliminariesmentioning
confidence: 99%
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“…A design in Dυ,-0.166667emb,-0.166667emk with largest E ‐value is E‐optimal in the class. Godolphin () derived a lower bound for t * in terms of μ :minfalse{T,rfalse}t*,where ⌈ x ⌉ denotes the ceiling of x andT=8μk2false(υkfalse)υ(2k21+(1)k).…”
Section: Preliminariesmentioning
confidence: 99%
“…Ghosh () established that all BIBDs have t * = r . For binary incomplete block designs, not necessarily with equal treatment replication, robustness against the loss of whole blocks was investigated by Baksalary & Tabis (), Sathe & Satam (), Godolphin & Warren () and Godolphin (). Bailey, Schiffl & Hilgers () and Tsai & Liao () focussed attention on robustness of designs with blocks of size two.…”
Section: Introductionmentioning
confidence: 99%
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