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Journal article
Analysis of Covariance of Reinforced Balanced Incomplete Block Designs with a Single Explanatory Variable
Journal of statistical theory and applications, Vol.13(3), pp.235-246
09/2014
Web of Science ID: WOS:000213793200005
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.
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Details
- Title
- Analysis of Covariance of Reinforced Balanced Incomplete Block Designs with a Single Explanatory Variable
- Publication Details
- Journal of statistical theory and applications, Vol.13(3), pp.235-246
- Resource Type
- Journal article
- Publisher
- Atlantis Press
- Number of pages
- 12
- Grant note
- UWF faculty catalyst initiative award
- Copyright
- © 2014, the authors
- Identifiers
- WOS:000213793200005; 99381378976106600
- Academic Unit
- Mathematics and Statistics; Hal Marcus College of Science and Engineering
- Language
- English