EconPapers    
Economics at your fingertips  
 

Evaluation of Orthogonally Blocked Central Composite Designs with Partial Replications

Eugene C. Ukaegbu () and Polycarp E. Chigbu
Additional contact information
Eugene C. Ukaegbu: University of Nigeria
Polycarp E. Chigbu: University of Nigeria

Sankhya B: The Indian Journal of Statistics, 2017, vol. 79, issue 1, No 6, 112-141

Abstract: Abstract In this work, the orthogonal blocking of the central composite designs is evaluated by considering various equal and unequal replications of the centre point in the factorial (cube) and axial (star) blocks. The A-, D- and G-efficiencies as well as the V-criterion are the single-value design criteria used to examine the prediction performances of the designs. The fraction of design space plot is the graphical method used to display the prediction variance characteristics of these designs throughout the entire design space. The cube and star portions are also replicated to enhance the performance of the designs. The results show that higher and equal replication of the centre points in the blocks as well as more centre points in the star blocks than the cube blocks improve the prediction capabilities of the orthogonally blocked CCD in spherical region.

Keywords: Axial distance; Centre point; Design efficiency; Orthogonal blocking; Partial replication; Primary 62Kxx; Secondary 62k10 (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s13571-016-0120-z Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sankhb:v:79:y:2017:i:1:d:10.1007_s13571-016-0120-z

Ordering information: This journal article can be ordered from
http://www.springer.com/statistics/journal/13571

DOI: 10.1007/s13571-016-0120-z

Access Statistics for this article

Sankhya B: The Indian Journal of Statistics is currently edited by Dipak Dey

More articles in Sankhya B: The Indian Journal of Statistics from Springer, Indian Statistical Institute
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-03-20
Handle: RePEc:spr:sankhb:v:79:y:2017:i:1:d:10.1007_s13571-016-0120-z