Orthogonal main-effect plans in row–column designs for two-level factorial experiments

P. C. Wang

doi:10.1080/03610926.2016.1242743

Orthogonal main-effect plans in row–column designs for two-level factorial experiments

P. C. Wang^*

^*Corresponding author for this work

Department of Industrial and Business Management

Research output: Contribution to journal › Journal Article › peer-review

6 Scopus citations

Abstract

Row–column designs for two-level factorial experiments are constructed to estimate all the main effects. We give the interactions for row and column blockings. Based on these blockings, independent treatment combinations are proposed to establish the whole design so that practitioners can easily apply it to their experiments. Some examples are given for illustrations. The estimation of two-factor interactions in these designs is discussed.

Original language	English
Pages (from-to)	10685-10691
Number of pages	7
Journal	Communications in Statistics - Theory and Methods
Volume	46
Issue number	21
DOIs	https://doi.org/10.1080/03610926.2016.1242743
State	Published - 02 11 2017

Bibliographical note

Publisher Copyright:
© 2017 Taylor & Francis Group, LLC.

Keywords

Confounded interaction
Defining contrast
Double blocking

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10.1080/03610926.2016.1242743

Cite this

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abstract = "Row–column designs for two-level factorial experiments are constructed to estimate all the main effects. We give the interactions for row and column blockings. Based on these blockings, independent treatment combinations are proposed to establish the whole design so that practitioners can easily apply it to their experiments. Some examples are given for illustrations. The estimation of two-factor interactions in these designs is discussed.",

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AB - Row–column designs for two-level factorial experiments are constructed to estimate all the main effects. We give the interactions for row and column blockings. Based on these blockings, independent treatment combinations are proposed to establish the whole design so that practitioners can easily apply it to their experiments. Some examples are given for illustrations. The estimation of two-factor interactions in these designs is discussed.

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KW - Defining contrast

KW - Double blocking

UR - https://www.scopus.com/pages/publications/85026764712

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DO - 10.1080/03610926.2016.1242743

M3 - 文章

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JO - Communications in Statistics - Theory and Methods

JF - Communications in Statistics - Theory and Methods

IS - 21

ER -

Orthogonal main-effect plans in row–column designs for two-level factorial experiments

Abstract

Bibliographical note

Keywords

Access to Document

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