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Incomplete Block Design

  • Bayo Lawal
Chapter

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 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Supplementary material

Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  1. 1.Department of Statistics and Mathematical SciencesKwara State UniversityMaleteNigeria

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