Topics  Some of my
publications 
Balanced incompleteblock designs 
R. A. Bailey and Peter J. Cameron:
A family of balanced incompleteblock designs with repeated blocks on
which general linear groups act.
Journal of Combinatorial Designs
15
(2007), 143–150.
doi: 10.1002/jcd.20120
[Maths Reviews 2291526 (2007k: 05025)]

Partially balanced incompleteblock designs 
R. A. Bailey:
Partially balanced designs.
In Encyclopedia of Statistical Sciences
(eds. S. Kotz and N. L. Johnson),
J. Wiley, New York,
Volume 6,
1985,
pp. 593–610.
R. A. Bailey:
Cyclic designs and factorial designs.
In Probability, Statistics and Design of Experiments
(proceedings of the R. C. Bose Symposium on
Probability, Statistics and Design of Experiments, Delhi, 27–30
December, 1988)
(ed. R. R. Bahadur),
Wiley Eastern, New Delhi,
1990,
pp. 51–74.
C.S. Cheng and R. A. Bailey:
Optimality of some twoassociateclass partially balanced
incompleteblock designs.
Annals of Statistics
19
(1991),
1667–1671.
doi: 10.1214/aos/1176348270
[Maths Reviews 1126346 (92k: 62130)]
R. A. Bailey:
Association
Schemes:
Designed Experiments, Algebra and Combinatorics,
Cambridge University Press, Cambridge,
2004. 387pp.
ISBN 0 521 82446 X.
[Maths Reviews 2047311 (2005d: 05001)]
R. A. Bailey, Peter J. Cameron and Tomas Nilson:
Sesquiarrays,
a generalisation of triple arrays.
Australasian Journal of Combinatorics,
71 (2018), 427–451.
[Maths Reviews 3801275]

Blocks of size two 
R. A. Bailey, D. C. Goldrei and D. F. Holt:
Block designs with block size two.
Journal of Statistical Planning and Inference
10
(1984),
257–263.
[Maths Reviews 0760410]
R. A. Bailey:
Designs for twocolour microarray experiments.
Applied Statistics
56
(2007), 365–394.
doi: 10.1111/j.14679876.2007.00582.x
[Maths Reviews 2409757]
R. A. Bailey, Katharina Schiffl and RalfDieter Hilgers:
A note on robustness of Doptimal block designs for twocolour
microarray experiments.
Journal of Statistical Planning and Inference,
143
(2013),
1195–1202.
doi: 10.1016/j.jspi.2013.01.005

When do nice combinatorial properties guarantee low variance? 
R. A. Bailey and T. P. Speed:
Rectangular lattice designs: efficiency factors and analysis.
Annals of Statistics
14
(1986),
874–895.
[Maths Reviews 0856795 (88e: 62186)]
C.S. Cheng and R. A. Bailey:
Optimality of some twoassociateclass partially balanced
incompleteblock designs.
Annals of Statistics
19
(1991),
1667–1671.
doi: 10.1214/aos/1176348270
[Maths Reviews 1126346 (92k: 62130)]
R. A. Bailey, H. Monod and J. P. Morgan:
Construction and optimality of affineresolvable designs.
Biometrika
82
(1995),
187–200.
doi: 10.1093/biomet/82.1.187
[Maths Reviews 1332849 (96k: 62212)]
R. A. Bailey and P. J. Cameron:
Substitutes for the nonexistent square lattice designs for 36 varieties.
Biuletyn Oceny Odmian
35
(2018),
11–13.
R. A. Bailey, Peter J. Cameron, L. H. Soicher and E. R. Williams:
Substitutes for the nonexistent square lattice designs for 36 varieties.
Journal of Agricultural, Biological and Environmental Statistics,
25 (2020), 487–499.
doi: 10.1007/s13253020003881

Using the concurrence graph or the Levi graph to find optimal designs 
R. A. Bailey and G. Royle:
Optimal semiLatin squares with side six and block size two.
Proceedings of the Royal Society, Series A
453
(1997),
1903–1914.
[Maths Reviews 1478138 (98k: 62130)]
R. A. Bailey:
Variance and concurrence in block designs, and distance in the
corresponding graphs.
Michigan Mathematical Journal
58
(2009),
105–124.
doi: 10.1307/mmj/1242071685
[Maths Reviews 2526080 (2010g:05043)]
R. A. Bailey and Peter J. Cameron:
Combinatorics of optimal designs.
In Surveys in Combinatorics 2009
(eds. S. Huczynska, J. D. Mitchell and
C. M. RoneyDougal),
London Mathematical Society Lecture Note Series,
365,
Cambridge University Press, Cambridge,
2009, pp. 19–73.
[Maths Reviews 2588537]
R. A. Bailey and Peter J. Cameron:
Using graphs to find the best block designs.
In Topics in Structural Graph Theory
(eds. L. W. Beineke and R. J. Wilson),
Cambridge University Press,
Cambridge,
2013,
pp. 282–317.
arXiv:1111.3728
R. A. Bailey and Alia Sajjad:
Optimal incompleteblock designs with low replication: A unified approach using
graphs.
Journal of Statistical Theory and Practice,
15:84 (2021).
doi: 10.1007/s4251902100215x
