A Series of Factorial Row-Column Designs with Incomplete Rows and Columns
KRISHI: Publication and Data Inventory Repository
View Archive InfoField | Value | |
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. Not Available |
|
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
|
|