Prof PJ (Paul) Mostert

 

 

Associate Professor

University of Stellenbosch

Private Bag X1, Matieland

7602, South Africa

 

Tel:         +(27) 21 808 3536

Fax:        +(27) 21 808 3830

e-mail:     pjmos@sun.ac.za

 

 

 

 

Born in Klerksdorp. North West Province, South Africa on 29 March 1962. Obtained the B.Sc, HED and B.Sc(Honors) in Statistics at Potchefstroom University for Christian Higher Education. The M.Sc in Mathematical Statistics was obtained at the University of Pretoria.

 

Obtained a Ph.D in 1999 at UNISA in the Department of Statistics. Title of thesis: "A Bayesian method to analyse cancer lifetimes using Rayleigh models", with promoters professors Kotie Roux and Andriëtte Bekker.

 

Present Teaching Subjects

Biostatistics I, Mathematical Statistics II, Statistics II, Calculating Interest I

Post Graduate Course: Bayesian Statistics (Honors and Masters students)

 

Present Research Interests

 

Repairable systems and their evaluation of their performance in terms of reliability and availability. A Bayesian method of assessing reliability is of primary interest, since very little is published on this topic. I registered this research project with the NRF and submitted an application for a research grant (2003 – 2006) in April 2002. The title of the project is: "System Reliability Analysis" within the focus area of "Information and Communication Technology".

Co-workers:     Professor Sarma Yadavali (University of Pretoria)

Professor Andriette Bekker (UNISA)

Dr Magda Botha (UNISA)

 

Bayesian shrinkage estimators for cancer lifetime models. Empirical Bayes shrinkage estimators for the lifetime parameters are studied under different loss functions, when cancer lifetimes are observed. Due to knowledge of cancer patients in the past one may have a guessed or prior value of a measure for the middle, which may be used in constructing an estimate of the lifetime parameter. This is a new project and started in 2002.

Co-workers:     Professor JJJ (Kotie) Roux (Research Fellow, UNISA)

Professor Andriette Bekker (UNISA)

 

Process prior methodology within the Cox regression models and non-parametric Bayesian survival analysis are investigated. Estimation of the baseline hazard and cumulative baseline hazard with or without ties are the main focus. Estimation is done using the Bayesian approach. With Mr Chris Muller (Department of Statistics and Actuarial Science, Stellenbosch)

 

Past Work Experience

1986 - 1987        Teacher - Potchefstroom Gymnasium

1988 - 1988        Actuarial Assistant - Momentum Life

1988 - 1994        Operations Researcher and Statistician - ISCOR

1994 - 1997        Lecturer - UNISA

1994 - 1997        Part-time Senior Lecturer - MEDUNSA

 

Publications in Journals

Publications in Conference Proceedings

 

Research Reports

 

International Conferences

 

National Conferences (South African)

Societies and committees

National Research Foundation of South Africa

Rated by the National Research Foundation (NRF) in the Y category: August 2001- December 2006.

 

 

 

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