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Robustness of neighbour balanced complete block designs against missing observation(s)

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Title Robustness of neighbour balanced complete block designs against missing observation(s)
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Creator N.R. Abeynayake
Seema Jaggi
Cini Varghese
 
Subject Neighbour balanced block design
missing observations
information matrix
eigenvalues, direct
neighbour effects
 
Description Not Available
A block design with neighbour effect(s) is said to be neighbour balanced if every treatment has every other treatment ber of times as neighbour(s). These designs are used when the treatment applied to one experimental plot may affect the response on neighbouring plot(s) besides the response to which it is applied. Neighbourbalanced designs ensure that no treatment is unduly disadvantaged by its neighbour(s). However, there is a possibility that some of the observations could
become unavailable for analysis. In this paper, we examine the robustness of neighbour balanced complete block designs when
specific observations are missing. The information matrix for direct treatment effects of the resultant design (onesided
neighbour
effects) after missing of an observation from a block is derived and the efficiency of resulting design is investigated. Robustness of neighbour balanced complete block design has also been investigated against missing of more than one observation. The efficiencies are found to be quite high indicating the designs to be fairly robust against missing observations.
Not Available
 
Date 2018-11-14T06:23:06Z
2018-11-14T06:23:06Z
2011-01-01
 
Type Research Paper
 
Identifier Not Available
Not Available
http://krishi.icar.gov.in/Publication/handle/123456789/11067
 
Language English
 
Relation Not Available;
 
Publisher Not Available