Science, Technology and Engineering

Department of Mathematics and Statistics

Statistics Staff Member

Research interests

Foundations of Statistics, meta-analysis and robust statistics.

Recent invited talks

• 15/08/2007 Meta Analysis seminar presented to the National Stroke Research Institute, Austin and Heidelberg Repatriation Centre, Melbourne.
• 23/03/2007 On the collective feeding of nestlings by Bell Miner birds: Do males compete for the mother? presented at the University of Dortmund, Germany to the International Workshop on Robustness and Data Analysis held in honour of Professor Frank Hampel of ETH, Zurich.
• 29/6/2006 Calibrating the evidence in experiments presented to the Department of Statistics, University of Dortmund, Dortmund, Germany.
• 23/6/2006 Calibrating the evidence in experiments with applications to meta-analysis presented to the Department of Statistics, ETH (Swiss Federal Institute of Technology), Zurich.
• 24/3/2006 Calibrating and combining evidence in two-sample comparisons presented to the Department of Econometrics and Business Statistics, Monash University
• 23/2/2006 Calibrating and combining evidence in two-sample comparisons presented to the Department of Mathematics and Statistics, The University of Melbourne
• 11/5/2005 Where does the evidence lie? Carlos III University, Department of Statistics, Madrid.
• 7/4/2005 Invited paper on Measures of Evidence and Inference at the International Statistical Institute Conference held in Sydney. Only available on compact disc, ISBN 10:90-73592-23-2 and ISBN 13:978-90-73592-230.
• 31/3/2005 Invited speaker to the Conference on Asymptotics and Nonparametrics to Honour the 65th birthday of Professor John Robinson, University of Sydney. The relationship between one- and two-sided evidence with applications to effect estimates through acceptability profiles.
• 17/2/2005 Fossicking about the Foundations, Imperial College, London, UK.
• 19/7/2004 Calibrating and interpreting significant p-values The University of Hong Kong, HK.
• 20/11/2003 Calibrating and interpreting significant p-values. University of California at Los Angelos.
• 19/11/2003 Think Vertically, not Horizontally, or Why Acceptability Profiles are Preferable to Confidence Intervals. School of Biomathematics, University of Southern California.
• 7/11/2003 Estimating effect size in a One-way ANOVA weighted for unequal variances. Carlos~III University, Madrid.
• 10/7/2003 Robust estimation of effect size in a One-way ANOVA weighted for unequal variances, University of Bayreuth, Germany.
• 13/5/2003 Think Vertically, not Horizontally, or Why Acceptability Profiles are Preferable to Confidence Intervals University of Dortmund, Germany.
• 2/6/2002 Robust model selection and regression in computer vision, Special Invited Talk to the European Conference on Computer Vision in Copenhagen, Denmark.
• 17/5/2002 The analysis of Australian Road Casualty Data, the International Conference on Robust Statistics at the University of British Columbia in Vancouver, Canada.
• 8/3/2001 Robust confidence intervals for R-squared and effect sizes in an ANOVA weighted for unequal variances, International Conference on Robust Statistics and Data Analysis held in Buenos Aires, Argentina.
• 29/3/2001 Robust ANOVA, International Conference on Data Analysis, Robustness, and Foundations of Statistics honouring Professor Frank Hampel in Zurich, Switzerland.
• 7/9/2001 Robust confidence intervals for R-squared and effect sizes in an ANOVA weighted for unequal variances, to the Victorian Branch of the Statistical Society of Victoria, held at Swinburne University, Melbourne.

Background

Robert Staudte was born in Boston, Massachusetts, in 1940. His graduate studies were carried out at the University of Illinois, Champagne-Urbana, where he was awarded the M.Sc. in Mathematics in 1964 and the Ph.D. in Mathematical Statistics in 1968. After promotion to Associate Professor at Michigan State University in 1973, he moved to La Trobe University at the Senior Lecturer level and was promoted to Associate Professor in 1993.

During his career at La Trobe he has served as Head of the Department of Statistical Science for five years and Head of the School of Mathematical and Statistical Sciences for two years. He was an Associate Editor for the Journal of Statistical Planning & Inference for 4 years, and is a member of the American Statistical Association, the Sigma Xi Scientific Research Society and the Statistical Society of Australia. He has held visiting scholar positions at the Swiss Federal Institutes of Technology in Zurich and Lausanne, the Departments of Statistics at Carlos III University of Madrid, Queen's University in Kingston, Ontario, the University of California at Berkeley, the University of Geneva and Cornell University.

Books and Monographs

1. Staudte, R.G., 1980, Robust Estimation, No.53 in the Queen's Papers in Pure and Applied Mathematics, Eds. Coleman, A.J., and Ribenboim, P. Kingston, Ontario, Canada 1-107.
2. Staudte, R.G., 1990, Seeing, Through Statistics; An introductory text with Minitab problems, Sydney: Prentice Hall Australia Pty. Ltd.
3. Staudte, R.G. and Sheather, S.J., 1990, Robust Estimation and Testing, New York: John Wiley and Sons.
4. Kulinskaya, E., Morgenthaler, S. and Staudte, R.G., 2008, Meta Analysis: a Guide to Calibrating and Combining Statistical Evidence, New York: John Wiley and Sons.

Selected Publications

1. Kulinskaya and Staudte, R.G. 2006, Confidence Intervals for the standardized effect arising in comparisons of two normal populations. To appear, Statistics in Medicine.
2. Kulinskaya, E. and Staudte, R.G. 2006 Interval estimates of weighted effect sizes in the one-way heteroscedastic ANOVA British Journal of Mathematical and Statistical Psychology, 59 pp. 97-111.
3. Morgenthaler, S. and Staudte, R.G. 2005, Conditionally Optimal Weights of Evidence, Acta Mathematicae Applicatae Sinica 21, 247-256.
4. Staudte, R.G. 2005, Measures of Evidence and Inference, Invited Paper presented to the International Statistical Institute, April, in Sydney.
5. Kulinskaya, E., Staudte, R.G. and Gao, 2003, Power approximations in testing for unequal means in a one-way ANOVA weighted for unequal variances, Communications in Statistics-Theory and Methods, 32, 2353-2371.
6. Morgenthaler, S. and Staudte, R.G., 2002, Optimal weights of evidence with bounded influence, Metrika, 55, 91-97.
7. Dollinger, M.B., Kulinskaya, E. and Staudte, R.G., 1999, Guarded weights of evidence and acceptability profiles based on signs: II. Asymptotics, Austral. & New Zealand J. Statist., 41, 451-461.
8. Blyth, C.R., Kulinskaya, E. and Staudte, R.G., 1999, Rejoinder to Comments by W. Schaafsma on Guarded weights of evidence and acceptability profiles based on signs: I. Permutation Arguments, Austral. & New Zealand J. Statist., 41, 108-110.
9. Dollinger, M.B., Kulinskaya, E. and Staudte, R.G., 1999, Guarded weights of evidence and acceptability profiles based on signs: I. Permutation Arguments (with discussion), Austral. & New Zealand J. Statist., 41, 91-107.
10. Kulinskaya, E. and Staudte, R.G., 1998, Tests and optimal guarded weights of evidence, Journal of Statistical Planning and Inference, 71, 1-18.
11. Blyth, C.R. and Staudte, R.G., 1997, Hypothesis estimation and acceptability profiles for 2 x 2 contingency tables, J. Amer. Statist. Soc., 92, 694-699.
12. Staudte, R.G., Zhang, J., Huggins, R.M. and Cowan, R., 1996, A re-examination of the cell lineage data of E.O. Powell, Biometrics, 52, 1214-1222.
13. Sommer, S. and Staudte, R.G., 1995, Variable selection in linear regression in the presence of outliers and leverage points, Austral. J. Statist., 37, 323-336.
14. Blyth, C.R. and Staudte, R.G., 1995, Estimating statistical hypotheses, Prob. & Statist. Letters, 23, 45-52.
15. Ronchetti, E.M. and Staudte, R.G., 1994, A robust version of Mallow's Cp, J. Amer. Statist. Assoc., 89, 550-559.
16. Huggins, R.M. and Staudte, R.G., 1994, Variance components models for dependent cell populations, J. Amer. Statist. Assoc., 89, 19-29.
17. Staudte, R.G., 1992, A bifurcating autoregression model for cell lineages with variable generation means, J. Theor. Biol., 156, 183-195.
18. Dollinger, M.B. and Staudte, R.G., 1991a, Influence functions of iteratively reweighted least squares estimators, J. Amer. Statist. Soc., 86, 709-716.
19. Cowan, R. and Staudte, R.G., 1986, The bifurcating autoregression model in cell lineage studies, Biometrics, 42, 769-783.
20. Kulinskaya and Staudte, R.G., 2007, ‘Confidence Intervals for the standardized effect arising in comparisons of two normal populations’, Statistics in Medicine, 26, 2853-2871
21. Kulinskaya, E., Staudte, R.G., 2007, ‘Cochran's Q-test for variance stabilized effect size estimates and a random effect size model’, In the Proceedings of the 22nd International Workshop on Statistical Modelling, July 2-6, 2007, Barcelona, Spain, 390-393
22. Kulinskaya, E., Staudte, R.G., 2006, ‘A model for combining the evidence in several t-statistics to estimate an overall standardized effect’, In the Proceedings of the 21st International Workshop on Statistical Modelling, July 3--7, 2006, Galway, Ireland, 309-312