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A Series of Factorial Row-Column Designs with Incomplete Rows and Columns

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Title A Series of Factorial Row-Column Designs with Incomplete Rows and Columns
Not Available
 
Creator Cini Varghese
Seema Jaggi
Kallol Sarkar
Mohd Harun
 
Subject Designs with two-dimensional blocking
Row-column designs
Symmetric factorial experiments
Confounding
 
Description Not Available
Row-column designs are advantageously used in experimental situations when the heterogeneity in the experimental material is due to two cross classified sources. If the experimenter wants to study the effect of two or more factors simultaneously under a row-column set up, a statistically more efficient and informative method is to use a factorial row-column design (RCD), than to run separate experiments for each factor. Factorial RCDs not only need fewer experimental units but can also address the issue of interactions between the factors. As the number of factors or the number of levels of the factors increases, the number of treatment combinations increases considerably and, hence, it may be practical to adopt factorial RCDs in incomplete rows and columns. A series of symmetric factorial RCDs with incomplete rows and columns has been obtained here and the effects confounded in rows and columns have been identified.
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Date 2022-02-14T08:42:56Z
2022-02-14T08:42:56Z
2021-04-01
 
Type Research Paper
 
Identifier Cini Varghese, Seema Jaggi, Kallol Sarkar and Mohd. Harun (2021). A Series of Factorial Row-Column Designs with Incomplete Rows and Columns. Journal of the Indian Society of Agricultural Statistics, 75(1), 13–18.
0019-6363
http://krishi.icar.gov.in/jspui/handle/123456789/69792
 
Language English
 
Relation Not Available;
 
Publisher Indian Society of Agricultural Statistics New Delhi, India