(03) 8344 6995
I have been involved in many statistical consulting jobs — mainly for clients from other departments within the university. My major consulting activity for the past few years has been my ongoing involvement in developing a meat quality measure for Meat Standards Australia.
My main research interest has been in stochastic processes and in particular population models — particularly in producing usable approximations for stochastic models to overcome the inadequacy of deterministic models on the one hand and the intractability of the stochastic models on the other. This has led to an interest in martingale central limit theorems and random time scale transformations as useful tools in such endeavours.
I retain an active interest in population modelling and inference for such models. However, my research interests are quite diverse and include work in education and applied statistics. I have published papers in distribution theory, sample size determination and survival analysis.
Current research projects include:
- Modelling probability of fault detection (Cayt Harding, Caz Nickson).
- Epidemic modelling and data analysis (Paul Yip).
- Models for discrete failure times and their statistical analysis.
- Interpretation of confidence intervals, p-values; and discrediting p_rep. (Ian Gordon)
- Estimating the mean, even in adverse circumstances (Ian Gordon).
- Sport statistics and modelling.
- Binomial sequences and their asymptotic behaviour.
Recent published papers
- Yip, Watson, et al. (2010) “Estimation of the number of people in a demonstration” ANZJS 52 (1): 17-26.
- Xi, Watson & Yip. (2009) “Estimation in capture-recapture models when covariates are subject to measurement errors or missing data”. Canadian J Statistics 37 (2): 1-14.
- Watson, Brand, Watson & LoGiudice. (2009) “Delirium in the eldery. Environmental management strategies: a survey of Melbourne hospitals” Australian Health Review. 33 (4): 656-662.
- Novak & Watson. (2009) “Using Single Packet Probing to Estimate Arrival Rate” Queueing Systems. 61 : 255-272.
- Hepworth & Watson. (2009) “Debiased estimators for group testing” Applied Statistics 58 : 1, 105-121.
- Xi, Watson & Yip. (2008) “The minimum capture proportion for reliable estimation in capture-recapture models”, Biometrics 64 : 242-249.
- Watson. (2008) “Meta-analysis of the published effects of HGP use on beef palatability in steers as measured by objective and sensory testing”, Australian Journal of Experimental Agriculture 48 : 11, 1425-1433.
- Watson, Gee, Polkinghorne & Rooke (2008) “Consumer assessment of eating quality – Development of protocols for MSA testing”, Australian Journal of Experimental Agriculture 48 : 11, 1360-1367.
- Polkinghorne, Thompson, Watson, Gee and Porter (2008) “The evolution of the Meat Standards Australia (MSA) grading system”, Australian Journal of Experimental Agriculture 48 : 11, 1351-1359.
- Watson, Polkinghorne & Thompson (2008) “Development of a grading model to predict consumer palatability of the carcass” Australian Journal of Experimental Agriculture . 48 : 11, 1368-1379.
- Watson, Polkinghorne, Gee, Porter, Thompson, Ferguson, Pethick, McIntyre (2008) “The effect of hormonal growth promotants on palatability of various muscles from Bos indicus cross steers and heifers” Australian Journal of Experimental Agriculture 48 : 11, 1415-1424 .
- Polkinghorne, Watson, Thompson and Pethick (2008) “Current usage of the MSA grading system in Australia and international developments” Australian Journal of Experimental Agriculture. 48 : 11, 1459-1464
- Yip, Watson & Chen (2007) “Estimation of vaccine efficacy and the vaccination threshold”, Statistics in Medicine 26 : 4475-4488.
- Xi, Yip & Watson (2007) “ A Unified Likelihood-based Approach for Estimating Population Size in Continuous-Time Capture-Recapture Experiments with Frailty”, Biometrics 63 : 228-236.
- Yip, Yang, Ip, Law & Watson (2007) “A study on financial debts and suicides in Hong Kong SAR”, Journal of Applied Social Psychology 37 : 2788-2799.
Some older papers
- Xi, Yip & Watson (2006) Estimating population size in a continuous-time removal experiment with a known sub-population size ratio. Environmental and Ecological Statistics, 13 :109-126.
- Fang, Watson, Yan & Yip (2004) A procedure for complete fault detection with a removal process . J. Stat. Planning & Inference, 117 : 1-14.
- Liu, Yip & Watson (2003) Removal process estimation of population size for a population with a known sex ratio. Environmental and Ecological Statistics, 10 : 281-292.
- Ng & Watson (2002) A non-identifiability in modelling discrete failure times Australian & New Zealand Journal of Statistics, 44 : 467-478.
- Watson & Williams (2002) Martingale generating functions for Markov chains. J. Stat. Planning & Inference. 103 : 39-49.
- Gordon & Watson (1996) The myth of continuity-corrected sample size formulae. Biometrics. 52 : 72-77.
- Watson & Yip (1993) A Bivariate counting process. J. Appl.Prob. 30 : 353-364.
- Adams & Watson (1989) A discrete time parametric model for survival analysis. Aust. J. Statist. 31 : 365-384.
- Watson & Gordon (1986) On quantiles of sums. Aust. J. Statist. 28 : 192-199.
- Watson (1981) An application of a martingale central limit theorem to the standard epidemic model. Stoch. Proc.Applicns. 11 : 79-89.
- Watson (1980) On the size distribution for some epidemic models, J. Appl. Prob. , 17: 912-921.
- Anderson & Watson (1980) On the spread of a disease with gamma distributed latent and infectious periods, Biometrika , 67 : 191-198.
Watson (1975) An application of martingale methods to conflict models,
Opns. Res. , 24 : 380-382.