11. A Two-Way Split-Plot Design

  1. Peter Goos1 and
  2. Bradley Jones2

Published Online: 24 JUN 2011

DOI: 10.1002/9781119974017.ch11

Optimal Design of Experiments: A Case Study Approach

Optimal Design of Experiments: A Case Study Approach

How to Cite

Goos, P. and Jones, B. (2011) A Two-Way Split-Plot Design, in Optimal Design of Experiments: A Case Study Approach, John Wiley & Sons, Ltd, Chichester, UK. doi: 10.1002/9781119974017.ch11

Author Information

  1. 1

    University of Antwerp and Erasmus University Rotterdam, Netherlands

  2. 2

    JMP Division of SAS, UK

Publication History

  1. Published Online: 24 JUN 2011
  2. Published Print: 1 JUL 2011

ISBN Information

Print ISBN: 9780470744611

Online ISBN: 9781119974017



  • two-way split-plot design - modern production processes, two or more steps;
  • two-way split-plot experiments, extensions - of split-plot experiments, random effects;
  • case, battery cell experiment - battery cell production process;
  • Pino's strip-plot design, a two-way split-plot design - for battery cell experiment;
  • D-optimal 48-run two-way split-plot design - with 16 rows and six columns;
  • factor-effect estimate variances - for D-optimal 48-run, two-way split-plot design;
  • best linear unbiased predictions (BLUPs), row and column effects - data, battery cell experiment;
  • agriculture, and experimental factors in designs - replicates of complete factorial designs;
  • industry, using fractions - of complete factorial designs, without replication;
  • optimal design of two-way split-plot experiments - levels of row factors, levels of column factors


This chapter contains sections titled:

  • Key concepts

  • Case: the battery cell experiment

  • Peek into the black box

  • Background reading

  • Summary