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Cited by 258

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

The Randomization Theory of Experimental Inference*

Kempthorne, Oscar·1955·Journal of the American Statistical Association

Abstract

The paper contains a description of the extent to which the use of randomization in experimental designs permits evaluation of the experimental results. The case considered is that in which the whole population of treatments is used with particular experimental material. A completely general mathematical specification of the design is given and the procedure by which linear models for the experimental results are derived is exemplified by the cases of the completely randomized design, randomized blocks, Latin squares, and a particular systematic design. The case of the completely randomized design is discussed extensively. An assessment of the present state of randomization theory is given, with a statement of major deficiencies.

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Crossref · 10.1080/01621459.1955.10501979

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Metadata

Authors
Kempthorne, O.
Venue
Journal of the American Statistical Association
Published
1955-09
Volume
50
Issue
271
Pages
946-967
ISSN
  • 0162-1459 (ISSN-L)
  • 1537-274X
OpenAlex
W2162577199
Cited by
258
References
1
FWCI
3.94
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: The Randomization Theory of Experimental Inference*. https://app.cochat.ai/papers/10.1080/01621459.1955.10501979
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Kempthorne, O. (1955). The Randomization Theory of Experimental Inference*. Journal of the American Statistical Association. https://doi.org/10.1080/01621459.1955.10501979

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.