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Minimal circular generalized strongly balanced and their conversion into circular balanced and strongly balanced repeated measurements designs

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  • Rida Jabeen
  • Zahid Bashir
  • H. M. Kashif Rasheed
  • Jigneshkumar Gondaliya
  • Rashid Ahmed

Abstract

Residual effects in repeated measurements design leads to wrong estimation of direct treatment effects. Due to that minimal balanced repeated measurement designs and strongly balanced repeated measurements designs are preferred to balance the residual effects. When these minimal designs could not be constructed then minimal partially balanced repeated measurement designs and generalized strongly balanced RMDs are used. In this article, some new generators are developed to obtain the generalized classes of minimal circular strongly balanced RMDs which can be converted directly into minimal circular balanced and strongly balanced RMDs.

Suggested Citation

  • Rida Jabeen & Zahid Bashir & H. M. Kashif Rasheed & Jigneshkumar Gondaliya & Rashid Ahmed, 2024. "Minimal circular generalized strongly balanced and their conversion into circular balanced and strongly balanced repeated measurements designs," Communications in Statistics - Theory and Methods, Taylor & Francis Journals, vol. 53(4), pages 1440-1458, February.
  • Handle: RePEc:taf:lstaxx:v:53:y:2024:i:4:p:1440-1458
    DOI: 10.1080/03610926.2022.2101664
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