Nothing Special   »   [go: up one dir, main page]

Skip to main content

A Visual Environment for Designing Experiments

  • Conference paper
COMPSTAT

Abstract

A number of approaches to visually representing an experimental design are presented. Several of these representations are shown in a prototype software environment. Users can easily interact with each representation, and changes made in one view are immediately reflected in the others. The software provides a framework for easy access to the properties of a design, and for comparison of different candidate designs.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Similar content being viewed by others

References

  • Kempthorne, O., Zyskind, G., Addelman, S., Throckmorton, T. N & White, R.F. (1961). Analysis of Variance Procedures. Aeronautical Research Laboratory Technical Report 149. Office of Technical Services, United States Department of Commerce.

    Google Scholar 

  • Lohr, S.L. (1995). Hasse Diagrams in Statistical Consulting and Teaching. The American Statistician, 49, 376–381.

    Google Scholar 

  • Lorenzen, T.J. & Anderson, V.L. (1993). Design of Experiments — A No-Name approach. New York: Marcel Dekker Inc.

    MATH  Google Scholar 

  • Milliken, G.A. & Johnson, D.E. (1984). Analysis of Messy Data, Volume 1: Designed Experiments. Belmont: Lifetime Learning Publications.

    Google Scholar 

  • Nys, M., Darius, P. & Marasinghe, M. (1994). An Interacrive Window-Based Environment to Explore the Design of an Experiment. In: Soft-Stat ’93 Advances in Statistical Software 4 (ed. F. Faulbaum). Stuttgart-Jena-New York: Gustav Fischer.

    Google Scholar 

  • Speed, T.P. & Bailey, R.A. (1987). Factorial Dispersion Models. International Statistical Review, 55, 261–277.

    Article  MathSciNet  MATH  Google Scholar 

  • Taylor, W.H. & Hilton, G.H. (1981). A Structure Diagram Symbolization for Analysis of Variance. The American Statistician, 35, 85–93.

    MATH  Google Scholar 

  • Tjur, T. (1984). Analysis of Variance Models in Orthogonal Designs. International Statistical Review, 52, 33–81.

    Article  MathSciNet  MATH  Google Scholar 

  • Tjur, T. (1991). Analysis of Variance and Design of Experiments. Scandinavian Journal of Statistics, 18, 273–322.

    MathSciNet  MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 1998 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Darius, P.L., Coucke, W.J., Portier, K.M. (1998). A Visual Environment for Designing Experiments. In: Payne, R., Green, P. (eds) COMPSTAT. Physica, Heidelberg. https://doi.org/10.1007/978-3-662-01131-7_31

Download citation

  • DOI: https://doi.org/10.1007/978-3-662-01131-7_31

  • Publisher Name: Physica, Heidelberg

  • Print ISBN: 978-3-7908-1131-5

  • Online ISBN: 978-3-662-01131-7

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics