Incomplete Block Design

Bayo Lawal ()
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Bayo Lawal: Kwara State University, Department of Statistics and Mathematical Sciences

Chapter 16 in Applied Statistical Methods in Agriculture, Health and Life Sciences, 2014, pp 639-659 from Springer

Abstract: Abstract The designs considered in the previous chapters, namely, randomized complete block and Latin square design assume that each block always contain enough experimental units to allow for each treatment (or treatment combination in case of a factorial design) to be contained at least once in each block or in the case of Latin square design in each row or column. In particular, when the number of treatments equals the number of units in a block, the design is very very simple and the analysis becomes straightforward. However, when the number of units in a block is less (in some cases could be more) than the number of treatments, the design is no longer simple and so does the analysis.

Keywords: Relative Efficiency; Experimental Unit; Treatment Means; Efficiency Factor; Incomplete Block (search for similar items in EconPapers)
Date: 2014
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DOI: 10.1007/978-3-319-05555-8_16

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