Research Article 2026-04-21 posted v1

Construction of Balanced n-ary Designs via Complete Multiset Spaces

S
Sudesh Srivastav Tulane University
A
Apurv Srivastav University of Delaware

Abstract

We study balanced n-ary block designs that allow repeated treatments within blocks, motivated by applications in dose-response and repeated-measure experiments. We introduce a master (k+1)-ary design with explicit replication and pairwise concurrence parameters. Systematic symmetry-preserving deletions generate infinite families of lower-arity balanced designs, for which explicit formulas for replication numbers, structured expressions for pairwise concurrences, and the resulting information matrix under the fixed-effects model are obtained. These results establish a rigorous link between combinatorial Sv-symmetry and statistical optimality. Simulation studies show that the proposed multiset-based designs, by maintaining equireplication, yield lower contrast variances than random multiset arrangements with unequal replication numbers. Potential applications include doseresponse studies, resampling-based simulations, and repeated-measures experiments. AMS Subject Classification (2020): 62K10 · 05B05

Citation Information

@article{sudeshsrivastav2026,
  title={Construction of Balanced n-ary Designs via Complete Multiset Spaces},
  author={Sudesh Srivastav and Apurv Srivastav},
  journal={Research Square},
  year={2026},
  doi={https://doi.org/10.21203/rs.3.rs-8595082/v1}
}
Back to Top
Home
Paper List
Submit
0.019033s