Some Generalized Classes of Efficient Circular Repeated Measurements Designs Which are Strongly Balanced

Authors

Rida Jabeen, Department of Statistics, The Islamia University of Bahawalpur, PakistanFollow
Rashid Ahmed, Department of Statistics, The Islamia University of Bahawalpur, PakistanFollow
Mohammad Nasir, Department of Statistics, The Islamia University of Bahawalpur, PakistanFollow
Berihan R. Elemary, Department of Applied, Mathematical and Actuarial Statistics, Damietta University and NUB-Nahda University, Beni Suef, EgyptFollow

Abstract

Repeated measurement designs (RMDs) are frequently used in the fields of psychology, animal sciences, medicine and pharmacology, etc. Minimal strongly balanced RMDs are important to estimate the residual and direct effects independently and economically. Minimal strongly balanced generalized RMDs are preferred where minimal strongly balanced RMDs are impossible. Here, some new generators are developed for minimal strongly balanced generalized RMDs in periods of (i) two, (ii) three, and (iii) four different sizes. Proposed designs possess the high efficiency of Separability.

Digital Object Identifier (DOI)

http://dx.doi.org/10.18576/jsap/110310

Recommended Citation

Jabeen, Rida; Ahmed, Rashid; Nasir, Mohammad; and R. Elemary, Berihan (2022) "Some Generalized Classes of Efficient Circular Repeated Measurements Designs Which are Strongly Balanced," Journal of Statistics Applications & Probability: Vol. 11: Iss. 3, Article 10.
DOI: http://dx.doi.org/10.18576/jsap/110310
Available at: https://digitalcommons.aaru.edu.jo/jsap/vol11/iss3/10