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Split–Plot Design: Model And Analysis For Count Data

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  • J. Engel

Abstract

The analysis of count response data from designed experiments is well–known for independent response variables having the Poisson distribution. For experimental designs where responses are dependent, no general results seem to be available. An example of this type of design is the split–plot design, where sub–plot responses are essentially dependent within whole plots. In this paper, a model will be proposed for split–plot count data and a separate analysis for whole plot and sub–plot data will be presented. It is interesting to note, that the same model is used in the quite different context of consumer buying behaviour. It is derived by Goodhardt, Ehrenberg and Chatfield and it was called the ‘Dirichlet model’, as the Dirichlet multinomial distribution, together with the negative binomial distribution, build up the model.

Suggested Citation

  • J. Engel, 1986. "Split–Plot Design: Model And Analysis For Count Data," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 40(1), pages 21-33, March.
    • Handle: RePEc:bla:stanee:v:40:y:1986:i:1:p:21-33
    DOI: 10.1111/j.1467-9574.1986.tb01161.x
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