Skip to main content
SpringerLink
Log in

Eight-run two-level factorial designs under dependence

  • Published:
Metrika Aims and scope Submit manuscript

Abstract.

Dependent observations commonly arise in factorial experiments. Apart from main-effects two-level designs formed by the Cheng & Steinberg reverse foldover algorithm, which are known to be very efficient designs under dependence using the D-criterion, little is known about other designs, models and criteria, and the range of possible behaviour. In this paper, we investigate in detail 8-run two-level designs.

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

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

Author information

Authors and Affiliations

  1. School of Mathematics and Statistics, University of Sheffield, Sheffield S3 7RH, UK (e-mail: r.j.martin@sheffield.ac.uk), , , , , , GB

    R. J. Martin

  2. Department of Statistics, Massey University, Palmerston North, New Zealand (e-mail: g.jones@massey.ac.nz), , , , , , NZ

    G. Jones

  3. Department of Mathematics, University of Queensland, Brisbane, Qld 4072, Australia (e-mail: jae@maths.u9.edu.au), , , , , , AU

    J. A. Eccleston

Authors
  1. R. J. Martin
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. G. Jones
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. J. A. Eccleston
    View author publications

    You can also search for this author in PubMed Google Scholar

Additional information

Received February 1998

Rights and permissions

Reprints and permissions

About this article

Cite this article

Martin, R., Jones, G. & Eccleston, J. Eight-run two-level factorial designs under dependence. Metrika 48, 127–139 (1998). https://doi.org/10.1007/s001840050004

Download citation

  • Issue Date:

  • DOI: https://doi.org/10.1007/s001840050004

Search

Navigation