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Efficient neighbour balanced block designs for correlated observations

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Title Efficient neighbour balanced block designs for correlated observations
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Creator Jitendra Singh Tomar
Seema Jaggi
 
Subject Neighbour balanced design
Correlated observations
Generalized least squares
NAutoregressivearest neighbour
Efficiency
 
Description Not Available
Neighbour balanced designs, permitting the estimation of direct and neighbour
effects, are used when the treatment applied to one experimental plot may affect
the response on neighbouring plots as well as the response on the plot to which it is applied.
The allocation of treatments in these designs is such that every treatment occurs
equally often with every other treatment as neighbours. Neighbour balanced block
designs for observations correlated within a block have been investigated. The performance
of a series of incomplete neighbour balanced design for autoregressive and
nearest neighbour error correlation structure is studied when generalized least squares
estimation is used. The efficiencies for direct and neighbour effects of the designs
as compared to a neighbour balanced complete block design of Azais et al. (1993)
under correlated error is computed and tabulated for some cases. It is observed that
efficiency is quite high, in case of complete block designs for both AR(1) and NN correlation
structures. In case of incomplete block designs, designs with AR(1) structure
turns out to be more efficient. However, the efficiency of direct effects of treatments
is more as compared to neighbour effects under both the structures.
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Date 2018-11-13T09:56:49Z
2018-11-13T09:56:49Z
2007-01-01
 
Type Research Paper
 
Identifier Not Available
Not Available
http://krishi.icar.gov.in/jspui/handle/123456789/10925
 
Language English
 
Relation Not Available;
 
Publisher Not Available