Row-Column Designs for Two Level Factorial Experiments


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Authors

  • Kaushal Kumar Yadav The Graduate School, ICAR-Indian Agricultural Research Institute, New Delhi
  • Sukanta Dash ICAR-Indian Agricultural Statistics Research Institute, New Delhi
  • Baidya Nath Mandal ICAR-Indian Agricultural Statistics Research Institute, New Delhi
  • Rajender Parsad ICAR-Indian Agricultural Statistics Research Institute, New Delhi

https://doi.org/10.56093/jisas.v77i02.171447

Keywords:

Row-Column designs; Orthogonal; Factorial experiments

Abstract

 Row-column designs are useful for the experimental situations in which there are two cross classified sources of heterogeneity in the experimental material. Often it is desired to compare two or more factors in row-column set up where only two units can be accommodated in a single column. In this article, a general method of construction has been developed to generate row-column designs for factorial experiments with two rows which permit orthogonal estimation of all main effects and specific two factor interactions as per the choice of experimenters.

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References

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Submitted

2025-09-04

Published

2025-09-04

Issue

Section

Articles

How to Cite

Kaushal Kumar Yadav, Sukanta Dash, Baidya Nath Mandal, & Rajender Parsad. (2025). Row-Column Designs for Two Level Factorial Experiments. Journal of the Indian Society of Agricultural Statistics, 77(02), 233-236. https://doi.org/10.56093/jisas.v77i02.171447
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