Han, X.X., Liu, M.Q., Yang, J.F. and Zhao, S.L. (2020) Mixed 2- and 2r-Level Fractional Factorial Split-Plot Designs with Clear Effects. Journal of Statistical Planning and Inference, 204, 206-216.
https://doi.org/10.1016/j.jspi.2019.04.012

has been cited by the following article:

• TITLE: Construction of Split-Plot Designs with General Minimum Lower Order Confounding

  AUTHORS: Kexin Li, Beichen Han, Zhenzhen Niu

  KEYWORDS: Fractional Factorial Design, General Minimum Lower Order Confounding Criterion, Split-Plot Design

  JOURNAL NAME: Open Journal of Applied Sciences, Vol.13 No.3, March 3, 2023

  ABSTRACT: Fractional factorial split-plot design has been widely used in many fields due to its advantage of saving experimental cost. The general minimum lower order confounding criterion is usually used as one of the attractive design criterion for selecting fractional factorial split-plot design. In this paper, we are interested in the theoretical construction methods of the optimal fractional factorial split-plot designs under the general minimum lower order confounding criterion. We present the theoretical construction methods of optimal fractional factorial split-plot designs under general minimum lower order confounding criterion under several conditions.