Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 933

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Design and Analysis of Industrial Experiments.

Freeman, Harold A., Davies, Owen L., Box, G. E. P., Connor, L. R., Cousins, W. R., Davies, O. L., Himsworth, F. R., Sillitto, G. P.·1955·Journal of the American Statistical Association

Abstract

Summary Design and analysis of industrial experiments This paper is based on a lecture on the “Design and Analysis of Industrial Experiments” given by Dr O. L. Davies on the 8th of May 1954 to the Industrial Section of the “Vereniging voor Statistiek”. Production, formulation, and testing are distinguished as three separate fields of chemical activity where experimental designs can be applied, and various numerical examples of such experiments are discussed in detail. They consist of a 23factorial design, a 24half replicate and a 25quarter replicate fractional factorial design, and a three-way classification. In a final section the recent designs developed by Box for the exploration of response surfaces are briefly considered.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.2307/2280981

Cites

1 of 1 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cited by

See all 933

Metadata

Authors
Freeman, H. A., Davies, O. L., Box, G. E. P., Connor, L. R., Cousins, W. R., Davies, O. L., Himsworth, F. R., & Sillitto, G. P.
Venue
Journal of the American Statistical Association
Publisher
JSTOR
Published
1955-06
Volume
50
Issue
270
Pages
610
ISSN
0162-1459 (ISSN-L)
OpenAlex
W2168496028
Cited by
933
References
1
FWCI
13.14
Type
journal article
Language
en
Open access
closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Design and Analysis of Industrial Experiments. https://app.cochat.ai/papers/10.2307/2280981
The paper
Freeman, H. A., Davies, O. L., Box, G. E. P., Connor, L. R., Cousins, W. R., Davies, O. L., Himsworth, F. R., & Sillitto, G. P. (1955). Design and Analysis of Industrial Experiments. Journal of the American Statistical Association. https://doi.org/10.2307/2280981

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.