Analysis of Covariance of Reinforced Balanced Incomplete Block Designs With a Single Explanatory Variable

DOI

10.2991/jsta.2014.13.3.5How to use a DOI?

Keywords

Augmented designs, Reinforced designs, Reinforced BIBD, Reinforced PBIBD, and Ancillary variable

Abstract

Reinforced balanced incomplete block designs (BIBDs) are very useful in statistical planning of experiments as they can be constructed for any number of treatments for given numbers of replications. Das (1958) was first to introduce the statistical analysis of variance (ANOVA) of these designs, and in the same year Giri also developed the same statistical analysis of variance for reinforced partially balanced incomplete block designs (PBIBDs). In this article, we focus on the method of statistical analysis of covariance (ANCOVA) of reinforced balanced incomplete block design (BIBD) when a single explanatory variable is available in the experiment.

Copyright

© 2013, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - JOUR
AU  - D.K. Ghosh
AU  - M.G. Bhatt
AU  - S.C. Bagui
PY  - 2014
DA  - 2014/09/30
TI  - Analysis of Covariance of Reinforced Balanced Incomplete Block Designs With a Single Explanatory Variable
JO  - Journal of Statistical Theory and Applications
SP  - 235
EP  - 246
VL  - 13
IS  - 3
SN  - 2214-1766
UR  - https://doi.org/10.2991/jsta.2014.13.3.5
DO  - 10.2991/jsta.2014.13.3.5
ID  - Ghosh2014
ER  -