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Dr Robert King

Work Phone (02) 4921 5548
Fax (02) 4921 6898
Email
Position Lecturer
School of Mathematical and Physical Sciences
The University of Newcastle, Australia
Office V133, Mathematics

Qualifications

  • PhD, Queensland University of Technology
  • Bachelor of Science (Honours), University of Queensland

Research

Research keywords

  • Computational Statistics
  • Distribution Theory
  • Statistical Ecology

Research expertise

I am interested in the study of distributions, particularly the Generalised Lambda Distribution, as well as a number of applied statistical fields, including:

Bayesian "belief updating" in Robotics

Socio-Spatial Statistics - Describing spatial patterns of social measures

Evaluation of the goodness-of-fit of ecological models

Readability - measuring the readability of text, particularly science instructional texts

Statistics for Computing: Applying statistical methods to investigation of the software engineering process

Computing for Statistics: Computational methods for statistics, particularly simulation-based methods

Fields of Research

Code Description Percentage
010400 Statistics 50
080100 Artificial Intelligence And Image Processing 30
080299 Computation Theory And Mathematics Not Elsewhere Classified 20

Centres and Groups

Centre

    Awards

    Prize winner

    2006 World Champion, 4-legged league
    Robocup Federation (Germany)
    I am a member of the University of Newcastle Robot soccer team, the NUBots. The NUBots won the 4-legged league of the world robot soccer championship in 2006 in Bremen, Germany. RoboCup is an international joint project to promote AI, robotics, and related field. It is an attempt to foster AI and intelligent robotics research by providing a standard problem where wide range of technologies can be integrated and examined. The NUBots finished 3rd in the 4-legged league in 2002, 2003 and 2004 and 2nd in 2005.

    Invitations

    Symposium on Fitting Statistical Distributions to Data
    Auburn University, Auburn, Alabama, United States (Symposium)
    2006

    Teaching

    Teaching keywords

    • Statistics