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Please use this identifier to cite or link to this item: http://krishi.icar.gov.in/jspui/handle/123456789/71184
Title: Partially balanced t-designs
Other Titles: Not Available
Authors: Sayantani Karmakar
Cini Varghese
Seema Jaggi
Mohd Harun
ICAR Data Use Licennce: http://krishi.icar.gov.in/PDF/ICAR_Data_Use_Licence.pdf
Author's Affiliated institute: ICAR::Indian Agricultural Statistics Research Institute
Human Resource Development, Indian Council of Agricultural Research, New Delhi, India
Published/ Complete Date: 2021-11-29
Project Code: Not Available
Keywords: Association scheme
balanced incomplete block designs
canonical efficiency factor
group divisible
mutually orthogonal Latin squares
t- packing
Publisher: Communications in Statistics - Simulation and Computation
Citation: Sayantani Karmakar, Cini Varghese, Seema Jaggi & Mohd Harun (2021) Partially balanced t-designs, Communications in Statistics - Simulation and Computation, DOI: 10.1080/03610918.2021.2008436
Series/Report no.: Not Available;
Abstract/Description: Incomplete block designs bring out useful information from agricultural experimentation with high precision when there is a crunch in resources in terms of homogeneous blocks that can accommodate all the treatments. Balanced incomplete block designs or 2-designs are the most popular class of incomplete block designs. t-designs represent a generalized class of balanced incomplete block designs in which the number of blocks in which any t treatments (t ≥ 2) occur together is a constant. In order to obtain t-balance, we may require large number of blocks and replications. Partially balanced t-designs are introduced for experimental situations where it is not possible to get balanced t-designs. Two series of such designs are obtained using cyclic development of initial block(s). Association of the proposed designs with t-packing designs are also demonstrated.
Description: Not Available
ISSN: Not Available
Type(s) of content: Research Paper
Sponsors: Not Available
Language: English
Name of Journal: Communications in Statistics - Simulation and Computation
Journal Type: Peer reviewed
NAAS Rating: 7.12
Impact Factor: 1.12
Volume No.: Not Available
Page Number: Not Available
Name of the Division/Regional Station: Not Available
Source, DOI or any other URL: https://doi.org/10.1080/03610918.2021.2008436
URI: http://krishi.icar.gov.in/jspui/handle/123456789/71184
Appears in Collections:AEdu-IASRI-Publication

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