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Randomized Block Design

  • David J. Saville
  • Graham R. Wood
Part of the Springer Texts in Statistics book series (STS)

Abstract

In preceding chapters our measurements have largely arisen through applying experimental treatments to experimental units. For example, we measured the “bulk” of two and three day conditioned samples of wool. When the experimental units are entirely uniform, the only major influence on the measured value is the treatment. In practice, however the experimental units are seldom entirely uniform; for example, the nature of the wool may vary from sample to sample. This variation in the experimental units will in turn influence our measurements, and disguise the variation between treatments, the issue of central interest. Intelligent design, which recognizes the variation between experimental units, can help overcome this problem.

Keywords

Block Effect Randomize Block Design Observation Vector ANOVA Table Treatment Space 
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.

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Copyright information

© Springer-Verlag Berlin Heidelberg 1991

Authors and Affiliations

  • David J. Saville
    • 1
  • Graham R. Wood
    • 2
  1. 1.AgResearchBiometrics UnitLincolnNew Zealand
  2. 2.Department of MathematicsUniversity of CanterburyChristchurchNew Zealand

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