Professor J A (Nye) John

Nye held the position of chairperson of the Department of Statistics from January 1996 until July 2002. From 1966 to 1987 he was a lecturer, then senior lecturer and reader, in statistics in the Department of Mathematics at the University of Southampton, England. In 1987-88 he was a senior consultant at the Deming Institute of New Zealand in Auckland. He was appointed a professorial fellow in statistics and quality improvement at the University of Waikato in 1988. In this role he provided extensive training courses to New Zealand industry in the philosophy and techniques of quality management, as well as some statistics courses at the University. In 1995 he was appointed professor of statistics and played a leading role in the establishment of a separate department of statistics; this came into being in January 1996.

Research

Released in November 2001 was an updated version of CycDesigN. This is a computer package for the design of experiments, developed in collaboration with my colleague David Whitaker and with Emlyn Williams of CSIRO Forestry and Forest Products, Canberra. Most of the designs given in my research monograph Cyclic and Computer Generated Designs, co-authored with Dr Williams and published by Chapman and Hall in 1995 can be generated with this software. It will incorporate new work on a generalization of alpha designs developed by Kathy Ruggiero, and supported by an award from the Marsden Fund. These designs will lead to improved resolvable factorial designs, enhance the existing family of alpha designs, and provide the basis for a fast algorithm to construct t-latinized designs. A facility to generate spatial designs will also be available; research on spatial design is presently underway. Existing algorithms will be faster, and in many cases lead to improved designs, as a result of our work on recursive methods for updating the average efficiency factor. Carole Wright has now started work on a new project on the construction of row-column designs; this project is again supported by an award from the Marsden Fund.

Statistical Thinking for Managers, co-authored with David Whitaker and David Johnson of the Business School at the University of Loughborough, was published by Chapman and Hall / CRC in June 2001.

Recent Publications

John, J.A. and Russell, K.G. (2003) Optimising changeover designs using the average efficiency factors. Journal of Statistical Planning and Inference. 113, 259-268.

John, J.A., Ruggiero, K., and Williams, E.R. (2002) a_n-Designs. Aust. N.Z. J. Stat. 44(4), 457-465.

John, J.A. and Johnson, D.G. (2002). Statistical thinking for effective management. International Conference on the Teaching of Statistics (ICOTS6). Cape Town, S.A.

John, J.A.(2001). Updating formula in an analysis of variance model. Biometrika. 88, 1175-1178.

John, J.A., Williams, E.R. and Whitaker, D. (2001) CycDesign: A Package for the Computer Generation of Experimental Designs. Version 2.0.

John, J.A., Whitaker, D. and Johnson, D.G. (2001) Statistical Thinking for Managers. Chapman and Hall: London, 336 pp.

John, J.A. and Williams, E.R. (2000). Updating the average efficiency factor in alpha-designs. Biometrika. 87, 695-699.

John, J.A. and Whitaker, D. (2000). Recursive formulae for the average efficiency factor in block and row-column designs. J. Roy. Statist. Soc., B. 62(3), 575-583.

Russell, K.G. and John, J.A. (1999). A note on the optimality of resolvable block designs with unequal block sizes. J. Statist. Planning and Inference 81, 195-9.

John, J.A. and Williams, E.R. (1999). Partially-latinized designs. Statist. and Comp. 9, 203-7.

Williams, E.R., John, J.A. and Whitaker, D. (1999). Block designs for plant and tree breeding trials. Austral. & N.Z. J. Statist. 41, 277-84.

John, J.A. and Ruggiero, K. (1999). Resolvable block designs for factorial experiments. J. Statist. Planning and Inference 77, 293-9.

Williams, E.R. and John, J.A. (1999). Construction of resolvable designs with nested treatment structure. Biom. J. 41, 341-9.

John, J.A., Russell, K.G., Williams, E.R. and Whitaker, D. (1999). Resolvable designs with unequal block sizes. Austral. & N.Z. J. Statist. 41, 111-6.

Draper, N.R. and John, J.A. (1998). Response surface design where levels of some factors are difficult to change. Austral. & N.Z. J. Statist. 40, 487-95.

John, J.A. and Williams, E.R. (1998). t-Latinized designs. Austral. & N.Z. J. Statist. 40, 111-8.

John, J.A. and Williams, E.R. (1997). The construction of two-replicate row-column designs for use in field trials. Appl. Statist. 46, 207-14.

Williams, E.R. and John, J.A. (1996). A note on optimality in lattice square designs. Biometrika 83, 709-13.

Williams, E.R. and John, J.A. (1996). Row-column factorial designs for use in agricultural field trials. Appl. Statist. 45, 39-46.

Eccleston, J.A. and John, J.A. (1996). Orthogonal main effect plans for two and three factors in small blocks. Metrika, 43, 203-211.

John, J.A. (1995). Interchange algorithms for constructing designs with complex blocking structures. Statistical Theory and Applications, Papers in Honour of H A David (Ed H N Nagaraja, P K Sen and D F Morrison) 233-246.

John, J.A. and Williams, E.R. (1995). Cyclic and Computer Generated Designs. Chapman and Hall, London.

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