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14 - Fractional replication

from Part III - Second subject

Published online by Cambridge University Press:  05 November 2012

R. Mead
Affiliation:
University of Reading
S. G. Gilmour
Affiliation:
University of Southampton
A. Mead
Affiliation:
University of Warwick
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Summary

Preliminary examples

(a) An industrial experiment is to be planned to investigate the effects of varying seven factors in a chemical process. It is decided to use two levels of each factor, and there is sufficient material and time to make observations on 64 treatment combinations. How should the 64 treatment combinations to be included in the experiment be chosen?

(b) An experiment on competition between grass and legume species is to be planned to investigate the effects and pairwise interactions of eight factors. The eight factors are:

  1. (1) two different cutting regimes,

  2. (2) two different grass species,

  3. (3) two different legume species,

  4. (4) two levels of phosphate,

  5. (5) two levels of potassium,

  6. (6) two levels of nitrogen,

  7. (7) root competition between grass and legume allowed or restricted,

  8. (8) shoot competition between grass and legume allowed or restricted.

The total number of experimental units that can be managed is 48. How should the 48 combinations be chosen?

(c) An experiment on making hot cross buns is to be planned to investigate the effects, both main effects and two-factor interactions, of six factors. The factors to be varied are: (i) three different forms of flour (F), (ii) three different temperatures for baking (T), (iii) three levels for the amount and pattern of dried fruit in the mixture (D) and (iv) two levels of each of three additives related to improving storage performance (A, B and C).

Type
Chapter
Information
Statistical Principles for the Design of Experiments
Applications to Real Experiments
, pp. 334 - 362
Publisher: Cambridge University Press
Print publication year: 2012

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  • Fractional replication
  • R. Mead, University of Reading, S. G. Gilmour, University of Southampton, A. Mead, University of Warwick
  • Book: Statistical Principles for the Design of Experiments
  • Online publication: 05 November 2012
  • Chapter DOI: https://doi.org/10.1017/CBO9781139020879.015
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  • Fractional replication
  • R. Mead, University of Reading, S. G. Gilmour, University of Southampton, A. Mead, University of Warwick
  • Book: Statistical Principles for the Design of Experiments
  • Online publication: 05 November 2012
  • Chapter DOI: https://doi.org/10.1017/CBO9781139020879.015
Available formats
×

Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

  • Fractional replication
  • R. Mead, University of Reading, S. G. Gilmour, University of Southampton, A. Mead, University of Warwick
  • Book: Statistical Principles for the Design of Experiments
  • Online publication: 05 November 2012
  • Chapter DOI: https://doi.org/10.1017/CBO9781139020879.015
Available formats
×