Record Details

A note on the construction of incomplete row–column designs: An algorithmic approach

KRISHI: Publication and Data Inventory Repository

View Archive Info
 
 
Field Value
 
Title A note on the construction of incomplete row–column designs: An algorithmic approach
Not Available
 
Creator Sayantani Karmakar
Cini Varghese
Md. Ashraful Haque
Seema Jaggi
Mohd Harun
Eldho Varghese
 
Subject Balanced incomplete block designs
Canonical efficiency factor
Partially balanced incomplete block designs
Row–column designs
 
Description Not Available
Row–column designs are widely recommended for experimental situations when there
are two well-identified factors that are cross-classified representing known sources of
variability. Row–column designs are expected to result a gain in accuracy of estimating
treatment comparisons in an experiment as they eliminate the effects of the row and
column factors. However, these designs are not readily available when the number
of treatments is more than the levels of row and column blocking factors. Here,
an algorithmic approach for constructing a new series of row–column designs with
incomplete rows and columns, by amalgamating two incomplete block designs has
been proposed. A wide range of incomplete block designs, viz., balanced incomplete
block designs/ partially balanced incomplete block designs/t-designs, are available in
the literature, which can be selected as input designs to construct the proposed series
of designs. To avoid the complexity involved in the construction algorithm, an R package
‘‘iRoCoDe’’ has been developed for the generation of the proposed designs. A catalogue
of designs has been prepared using ‘‘iRoCoDe’’ for ≤ 20 treatments. Further, a general
form of the information matrix of these incomplete row–column designs has been
derived, and characterization properties of component designs of the final array have
been studied. The designs obtained are cost-effective and efficient as they require less
experimental resources and have high canonical efficiency factors.
Not Available
 
Date 2022-07-24T10:18:44Z
2022-07-24T10:18:44Z
2022-06-14
 
Type Research Paper
 
Identifier Not Available
Not Available
http://krishi.icar.gov.in/jspui/handle/123456789/73635
 
Language English
 
Relation Not Available;
 
Publisher Elsevier B.V.