TY  - BOOK
AU  - Somy Kuriakose 
AU  - Krishnan S (Guide)
TI  - Optimality of block designs used in one way elimination of Heterogeneity
U1  - 640 
PY  - 1995///
CY  - Vellanikkara
PB  - Department of Agricultural Statistics, College of Horticulture
N2  - Block designs are usually used in  experiments where it is important to eliminate heterogeneity at least in one direction. From the class of designs it is desired to choose a design  which will estimate the elementary treatment contrasts with maximum precision.

	The optimality criteria are based on the dispersion matrix of all possible  elementary contrasts. The  A-optimality criterion based on the information matrix  was derived.

	Usually for comparing  test treatments with a control RBD is used  with the control treatment  replicated in all blocks. The same objective could be  achieved by using  Balanced Treatment Incomplete Block Designs (BTIBD). BTIBD was found to be more efficient than RBD with the control treatment replicated in all blocks. Optimalities of BTIBD were also examined.

	When a BTIBD was augumented with certain number of blocks, such that the augmented blocks contains only the test treatments the resulting design was found to be E-optimal

UR  - http://krishikosh.egranth.ac.in/handle/1/5810104371
ER  -