Recent publications by Michael Wood
Selected journal articles and similar
Wood, Michael. (2013). Making statistical methods more useful: some suggestions from a case study. Sage Open, vol. 3, no. 1.
The above paper has been translated into Spanish and published as:
Wood, Michael. (2014). Potenciar la utilidad de los métodos estadísticos: algunas sugerencias a partir de un estudio de caso. Paradigmas, vol. 6, no. 1. ISSN: 1909-4302, e-ISSN: 2322-8466. http://publicaciones.unitec.edu.co/ojs/index.php/PAR/article/view/110/0
Mahamed Ismail, N.A., Xu, M.X., Wood, M. and Welch, C. (2013) ‘To share or not to share? Research-knowledge sharing in higher education institution: preliminary results’, Int. J. Information Technology and Management, Vol. 12, Nos. 3/4, pp.169–188.
Wood, Michael. (2010). The journal of everything. Times Higher Education, 22 April, 2010. Click here.
Wood, M. (2006). Viewpoint: Statistics and management science. Journal of the Operational Research Society, 57(11), 1369‑1370.
Wood, M. (2005). The role of simulation approaches in statistics. Journal of Statistics Education, 13(3), http://www.amstat.org/publications/jse/v13n3/wood.html .
Wood, M. (2005). Bootstrapped confidence intervals as an approach to statistical inference. Organizational Research Methods, 8(4), 454‑470. click here
Wood, M. (2005, May). Citation games: comments on the paper by Annette Risberg. Notework: Newsletter of the Standing Conference on Organization and Symbolism, pp. 26‑27 at http://www.scos.org (or click here).
Wood, M. (2004). Statistical inference using bootstrap confidence intervals. Significance, Volume 1 (4), 180-182. click here
Wood, M, Roberts, M, & Howell, B. (2004). The reliability of peer reviews of papers on information systems. Journal of Information Science, 30(1), 2-11. click here
Wood, M. (2002, 30 August). I’ll make it simple. Times Higher Education, Click here.
Wood, M. (2002). Maths should not be hard: the case for making academic knowledge more palatable. Higher Education Review, 34(3), 3-19. Click here for a copy.
Wood, M. (2002). Statistical process monitoring in the 21st century. In J. Antony & D. Preece (eds), Understanding, managing and implementing quality: frameworks, techniques and cases (pp 103-119). London: Routledge. click here
Roberts, M., & Wood, M. (2002). The strategic use of computerised information systems by a micro enterprise. Logistics Information Management, 15(2), 115-125.
Wood, M., & Christy, R. (2001). Prospecting research: knowing when to stop. Marketing Letters, 12(4), 299-313. click here
Wood, M., & Christy, R. (1999). Sampling for possibilities. Quality & Quantity, 33, 185-202. click here
Wood, M., Kaye, M., & Capon, N. (1999). The use of resampling for estimating control chart limits. Journal of the Operational Research Society, 50, 651-659. click here
Christy, R., & Wood, M. (1999). Researching possibilities in marketing. Qualitative Market Research, 2(3), 189-196. click here
Wood, M., Capon, N., & Kaye, M. (1998). User-friendly statistical concepts for process monitoring. Journal of the Operational Research Society, 49(9), 976-985. click here
Wood, M. (1997). The notion of the customer in total quality management. Total Quality Management, 8(4), 181-194. click here
Wood, M., Cahill, P., & Hicks, J. (1997). Computer packages as cognitive paradigms: implications for the education of accountants. Journal of Accounting Education, 15(1), 53-69. click here
Roberts, M., & Wood, M. (1997). The use of computerized information systems to gain strategic competitive advantage: the case of a start-up manufacturing company. Logistics Information Management, 10(4), 178-183.
Wood, M. (1997). Computer packages as a substitute for statistical training? in J. B. Garfield, & G. Burrill (eds), Research on the role of technology in teaching and learning statistics: Proceedings of the 1996 IASE Round Table Conference, (pp. 267-278). Voorburg, The Netherlands: International Statistical Institute. (ISBN: 90-73592-12-7) (This book is on the web at http://www.stat.auckland.ac.nz/~iase/publications/8/22.Wood.pdf .)
Preece, D., & Wood, M. (1995). Quality Measurements: who is using the sums and for what purpose? Human Resource Management Journal, 5(3), 41-55. click here
Wood, M. (1994). Statistical methods for monitoring service processes. International Journal of Service Industry Management, 5(4), 53-68. click here
Book: Making sense of statistics: a non-mathematical approach (Palgrave, 2003): pdf copy here.
Software: click here
Working papers on SSRN and arXiv
The pros and cons of using pros and cons for multi-criteria evaluation and decision making (The common sense idea of listing pros and cons has advantages over more sophisticated methods of decision making.)
Times Higher Education Scholarly Web column on my blog post about the closure of Cambridge University.