Testimonials
“We have worked with Chris Yates Statistical Consultancy on a number of projects and have always found their work to be innovative and of the highest standard. One of Chris’s greatest skills is clear communication – he makes complex statistical approaches easy to understand.”
Jason Beedell, Head of Research, Smiths Gore
Education
Doctor of Philosophy in Operations Research, January 2000. The University
of Reading, School of Agriculture Policy and Development.
Thesis title:
“A Modelling Strategy for Assessing the Consequences of Adopting New Reproductive
Technologies in the Bovine Sector of the UK Agriculture.”
Master of Science in Applied Statistics. 1992-95. Hallam University, Sheffield, UK.
Bachelor of Science in Mathematics and Statistics. 1987-91. The University of Bath, Bath, UK.
Employment
September 1989 to Spetember 1990, Statistician, Lever Brothers Ltd (as part of a student placement).
September 1991 to April 1993, Statistician, Meat and Livestock Commission.
April 1993 to July 2003, Research Fellow, The University of Reading, School of Agriculture Policy and Development.
August 2003 to present, Freelance statistician and mathematical modeller.
Academic awards
Goodeve Medal
Selected Refereed Journal Papers
Yates C. M. (2007). A positive approach to estimating the weights for quadratic multiple objective programming. Journal of the Operations Research (2007)58, 1332-1340.
T Rehman, K McKemey, C M Yates, R J Cooke, C J Garforth, R B Tranter, J R Park, and P T Dorward (2007). Identifying and understanding the factors influencing the uptake of technologies on dairy farms in SW England using the Theory of Reasoned Action. Agricultural Systems 94:281-293.
C. M. Yates, P. T. Dorward, G. Hemery and P. Cook (2007). The economic viability and potential of a novel poultry agroforestry system in the United Kingdom. Agrofostery Systems 69:13-28.
C. Garforth, K. McKemey, T. Rehman, R. Tranter, R. Cooke, J. Park, P. Dorward, C. M. Yates (2006). Famers’ attitudes towards techniques for improving oestrus detection in dairy herds in South West England. Livestock Science 103:158-168.
T Rehman and C. M. Yates (2005). Inclusion of nonlinear demand-supply relationships within large-scale partial equilibrium linear programming models. Journal of the Operations Research Society 56:317-323.
Garforth, C.J., Rehman, T., McKemey, K., Tranter, R.B., Cooke, R.J., Yates, C.M., Park, J.R. and Dorward, P . (2004) Improving the design of knowledge transfer strategies by understanding farmer attitudes and behaviours. Farm Management Journal 12:17-32.
Bailey A.P., Basford W. D., Penlington N., Park J. R., Keatinge J. D. H., Rehman T., Tranter R. B. and Yates C. M. (2003). A comparison of energy use in conventional and integrated arable farming systems in the UK. Agriculture, Ecosystems and Environment 97:241-253.
Sheikh, A. D., Rehman, T. and Yates, C. M. (2003). Logit models for identifying the factors that influence the uptake of new ‘non-tillage’ technologies by farmers in the rice-wheat and the cotton-wheat farming systems of Pakistan’s Punjab. Agricultural Systems 75:79-95.
J. A. N. Mills, E. Kebreab, C. M. Yates, L. A. Crompton, S. B. Cammell, M. S. Dhanoa, R. E. Agnew and J. France (2003). Alternative approaches to predicting methane emissions from dairy cows. Journal of Animal Science 81:3141-3150.
F. Polimeno, T. Rehman, H. Neal and C. M. Yates (1999). Integrating the use of linear and dynamic programming methods for dairy cow diet formulation. Journal of the Operations Research Society 50:931-942.
Yates, C. M. and Rehman, T. (1998). A linear programming formulation of the Markovian decision process approach to modelling the dairy replacement problem. Agricultural Systems 58: 185-201.
Yates, C. M. and Rehman, T. (1996). Integration of Markov and linear programming models to assess the farm-gate and national consequences of adopting new bovine reproductive technologies in the United Kingdom agriculture. Journal of the Operational Research Society 47: 1327-1342.
Yates, C. M., Rehman, T. and Chamberlain, A. T. (1996). Evaluation of the potential effects of embryo transfer on milk production on commercial dairy herds: the development of a Markov chain model. Agricultural Systems 50: 65-79.