Home > People > Academic Staff > Linda M. Haines
Academic Staff

Linda M. Haines

Office: PD Hahn 5.48
Tel: +27 21 650 4333

Research Interests: Optimal design; Statistical modelling

Position: Professor Emeritus

Biographical Information

I obtained my first degree, a double first in Chemistry from the University of Cambridge, in 1965 and a Ph.D. in Inorganic Chemistry from UNISA in 1970. I worked in Chemistry at the NCRL, CSIR, in Pretoria from 1967 to 1971 and lectured in Chemistry at the Medical School at UCT in 1975. I began my career in Statistics, studying through UNISA while my children were small.

I joined the Department of Statistics and Biometry at the University of Natal in 1978 as a Lecturer and was promoted to Senior Lecturer in 1984, Associate Professor in 1994 and full Professor in 1998. I was appointed as Full Professor in the Department of Statistical Sciences at UCT in 2005 and moved down to Cape Town in January of that year. I have spent sabbatical leave at the University of Cambridge in the U.K. and at the Universities of North Carolina, Purdue and Ohio State in the USA. I have been involved in various activities in the Statistical community both nationally and internationally.

In particular I am a past-President of the South African Statistical Association and have served on a number of committees at the NRF. I also served on the Program Committee of the International Workshop in Statistical Modelling in 2006 and of the International Biometrics Conference in 2008. I was an Associate Editor for Statistical Modelling and for the Journal of Statistical Planning and Inference for many years and currently contribute to Maths Reviews. I have supervised 25 Masters and 3 doctoral theses and am currently co-supervising 1 Ph.D. student and 1 Masters student. I was invited to participate in the program on the Design and Analysis of Experiments at the Isaac Newton Institute for Mathematical Sciences at the University of Cambridge in 2011 and spent two months there. I will be returning to the Institute for a one-week follow-on meeting on Design and Analysis of Experiments in Healthcare Design in 2015.

Research Interests

The focus of my research is on design of experiments for linear and nonlinear models and on statistical modelling. In addition I am involved in a miscellany of applied projects.

Recent Publications

  • L. M. Haines. Discussion of the paper "A general approach to D-optimal designs for weighted univariate polynomial regression models" by H. Dette and M. Trampisch. Journal of the Korean Statistical Society, 2010,  39, 35-37.
  • R. L. J. Coetzer and L. M. Haines. "Optimal Design for Compositional Data." mODa 9 - Advances in Model-Oriented Design and Analysis, Editors: A. Giovagnoli, A.C.Atkinson, B. Torsney, 2010, 57-64. Physica-Verlag, Heidelberg.
  • M. Lacerda, J. W. Fedderke and L. M. Haines. "Testing for purchasing power parity and uncovering interest parity in the presence of monetary and exchange rate regime shifts."  South African Journal of Economics, 2010,  78, 363-382.
  • L. K. Debusho and L. M. Haines. D- and V-optimal population designs for the quadratic regression model with a random intercept term." Journal of Statistical Planning and Inference, 2011, 141, 889-898
  • R. L. J. Coetzer, L. M. Haines and L. P. Fatti. "Central Composite Designs for Estimating the Optimum Conditions for a Second-Order Model." Journal of Statistical Planning and Inference, 2011, 141, 1764-1773.
  • M. G. Kabera, L. M. Haines and P. Ndlovu. "A note on the construction of locally D- and D_S-optimal  designs for the binary logistic model with several explanatory variables." Statistics and Probability Letters, 2012,  82, 865-870.
  • L. M. Haines. Contribution to the discussion of "Optimum design of experiments for statistical inference"  by S. G. Gilmour and L. A. Trinca. Applied Statistics, 2012, 61,383-385.
  • M. G. Kabera and L. M. Haines. "A note on the statistical analysis of point judgment matrices." Orion, 2013, 29, 75-86.
  • N. Flournoy, L. M. Haines and W. F. Rosenberger. "A graphical comparison of response-adaptive randomization procedures."  Statistics in Biopharmaceutical Research, 2013, 5, 126-141.
  • M. G. Kabera and L. M. Haines. "A note on the statistical analysis of point judgment matrices." Orion, 2013, 29, 75-86.
  • R. L. J. Coetzer and L. M. Haines. "Optimal Designs for Multiple-Mixture by Process Variable Experiments."  mODa10 - Advances in Model-Oriented Design and Analysis, Editors: A.C. Atkinson and D. Ucinski. Springer, Heidelberg, 2013, 45-53.
  • L. M. Haines. "A random walk approach for deriving exact expressions for probabilities associated with Efron's biased coin design."  South African Statistical Journal, 2013,  47, 123-125.
  • L. M. Haines and A. E. Clark. "The construction of optimal designs for dose-escalation studies." Statistics and Computing,  2014, 24, 101-109.
  • C. Thiart, M. Z. Ngwenya and L. M. Haines. "Investigating 'Optimal' Kriging Variance Estimation using an Analytic and a Bootstrap Approach."  Journal of the Southern African Institute of Mining and Metallurgy, 2014, 114, 613-618.
  • K. L. Leask and L. M. Haines. "Modelling overdispersion in Wadley's problem using the beta-Poisson distribution." Communications in Statistics - Theory and Methods. 2014, in press.
  • M. G. Kabera, L. M. Haines and P. Ndlovu. "The analytic construction of D-optimal designs for the two-variable binary logistic regression model without interaction." Statistics. Available on line: DOI 10.1080/02331888.2014.937342.
  • Book Chapter
  • Linda M. Haines. Chapter 2: "Introduction to Linear Models". Handbook of Design and Analysis of Experiments, Editors:  D. Bingham, A. M. Dean, M. D. Morris and J. Stufken, Chapman & Hall/CRC. Accepted for publication.

Submitted Papers

  • K. L. Leask and L. M. Haines. "The Altham-Poisson distribution." Submitted.
  • L. M. Haines  and H. Sadiq. "Start-up designs for response-adaptive randomization procedures with sequential estimation." Submitted.
  • Y. G. Habtesllassie, Linda M. Haines, H. G. Mwambi and J. W. Odhiambo. "Array-Based schemes for group screening with test errors which incorporate a concentration effect" Submitted.

Postgraduate Projects

I retired at the end of 2009. However I am happy to co-supervise any post-graduate students interested in research in the areas of optimal experimental design and spatial statisics. I am currently working on optimal designs for applications in the chemical industry with Dr Roelof Coetzer of SASOL, on spatial statistics with Professor Christien Thiart here at UCT and on designs for microarray analysis with Dr Legesse Debusho of the University of Pretoria.