αn -designs

Australian and New Zealand Journal of Statistics

Volumn 44, Issue 4, 2002, Pages 457-465

  John, J A ^a   Ruggiero, K ^b   Williams, E R ^c  

^a UNIVERSITY OF WAIKATO   (New Zealand)

^b MASSEY UNIVERSITY   (New Zealand)

^c CSIRO   (Australia)

Author keywords

Average efficiency factor; Design generation algorithm; Factorial experiments; Lattice designs; t latinized designs; designs

Indexed keywords

EID: 0036889896     PISSN: 13691473     EISSN: None     Source Type: Journal    
DOI: 10.1111/1467-842X.00247     Document Type: Article

References (13)

1. Davis, A.W. & Hall, W.B. (1969). Cyclic change-over designs. Biometrika 56, 283-293.
2. Dean, A.M. & Lewis, S.M. (1980). A unified theory for generalized cyclic designs. J. Statist. Plann. Inference 4, 13-23.
3. John, J.A. & Ruggiero, K. (1999). Resolvable block designs for factorial experiments. J. Statist. Plann. Inference 77, 293-299.
4. John, J.A. & Williams, E.R. (1995). Cyclic and Computer Generated Designs. London: Chapman & Hall.
5. John, J.A. & Williams, E.R. (1998). t-Latinized designs. Aust. N.Z. J. Stat. 40, 111-118.
6. Patterson, H.D. & Williams, E.R. (1976). A new class of resolvable incomplete block designs. Biometrika 63, 83-92.
7. Patterson, H.D., Williams, E.R. & HUNTER, E.A. (1978). Block designs for variety trials. J. Agric. Sci. 90, 395-400.
8. Whitaker, D., Williams, E.R. & John, J.A. (2001). CycDesigN: A Package For the Computer Generation of Experimental Designs. CSIRO, Canberra.
9. Williams, E.R. (1975). A new class of resolvable block designs. PhD Dissertation, University of Edinburgh.
10. Williams, E.R. (1986). Row and column designs with contiguous replicates. Austral. J. Statist. 28, 154-163.
11. Williams, E.R. & John, J.A. (1996). Row-column factorial designs for use in agricultural field trials. Appl. Statist. 45, 39-46.
12. Williams, E.R. & John J.A. (2000). Updating the average efficiency factor in α-designs. Biometrika 87, 695-699.
13. Williams, E.R., Matheson, A.C. & Harwood, C.E. (2002). Experimental Design and Analysis for Tree Improvement. Melbourne: CSIRO.