Holliday's engine mapping experiment revisited: a design problem with 2-level repeated measures data

H Goldstein, T Lewis

Research output: Contribution to journalArticle (Academic Journal)peer-review

1 Citation (Scopus)

Abstract

Only a limited amount of work has been done on issues of optimum experimental design in hierarchically structured data, in spite of the importance of design efficiency. We illustrate these issues by a fresh analysis of Holliday's well-known engine mapping experiment. This experiment investigated the relation of automobile engine performance, as measured by engine torque vs. spark advance, to adjustable engine parameters or factors, viz. engine speed, load, and air/fuel ratio. We show how an optimum experiment can be designed. Our analysis suggests a general procedure of wide applicability.
Translated title of the contributionHolliday's engine mapping experiment revisited: a design problem with 2-level repeated measures data
Original languageEnglish
Pages (from-to)317 - 326
Number of pages10
JournalInternational Journal of Vehicle Design (IJVD)
Volume40
DOIs
Publication statusPublished - 2006

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