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A STUDY ON ROW-COLUMN DESIGNS

KrishiKosh

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Title A STUDY ON ROW-COLUMN DESIGNS
 
Creator KALLOL SARKAR
 
Contributor . Cini Varghese
 
Subject economics, technological changes, costs, manpower, marketing, forestry, byproducts, irrigation, horticulture, crops
 
Description RFT-3173
When the heterogeneity present in the experimental material is from two cross classified sources,
then two-dimensional blocking of the experimental units is recommended for control or reduction
of experimental error. The two blocking systems are referred to as row blocking and column
blocking and the resulting designs are known as row-column designs. These designs are widely
used in agronomic or forestry trials where a large number of hybrid varieties are to be compared
leading to a large experimental area and hence, fertility trends may exist in the land in two
perpendicular directions. If an experimenter wants to study the effect of two or more factors
simultaneously in a row-column setup, adopting an appropriate factorial row-column design is
statistically more informative and efficient than running separate experiments for each factor. Some
families of symmetric/asymmetric factorial row-column designs in complete/incomplete
rows/columns have been obtained. Further, there are many experimental situations in which the
experimenter wants to compare a set of new (test) treatments with an already existing (control)
treatment giving more emphasis to test vs. control comparisons. Some general methods of
constructing balanced treatment-control row-column designs in complete/incomplete rows/columns
have been developed. Further, a class of structurally incomplete balanced treatment-control rowcolumn
designs has also been obtained where treatments are applied to a subset of the available
experimental units. Need for such designs is apparent when the blocking criteria are implemented
in sequence where the number of treatments is lesser in the second stage than the first stage.
Programs have been written in PROC IML of SAS software for computing the information matrix
and variances pertaining to different groups of treatment comparisons in factorial as well as
balanced treatment-control row-column design setup. List of parameters of designs constructed for
a practical range of parameters has been prepared along with variance of estimated contrasts
pertaining to different treatment comparisons.
 
Date 2016-12-15T14:27:03Z
2016-12-15T14:27:03Z
2011
 
Type Thesis
 
Identifier http://krishikosh.egranth.ac.in/handle/1/90329
 
Format application/pdf
 
Publisher INDIAN AGRICULTURAL STATISTICS RESEARCH INSTITUTE