Advances in statistical distribution theory inspired by communications systems

  • DATE

    09 February 2018

  • TIME

    12:00 - 16:00

  • VENUE

    SABI Boardroom, FABI Building, Hatfield Campus, University of Pretoria

You are cordially invited to the doctoral defence of Johan Ferreira from the Department of Statistics, University of Pretoria, with Prof Andriëtte Bekker as supervisor.

Enquiries: Prof Andriëtte Bekker at 012 420 2523 or [email protected]

RSVP: [email protected] by 5 February 2017 

Abstract: The thesis contributes to statistical distribution theory by developing bivariate and matrix variate distributions with their origins in the complex elliptical class. These contributions are inspired by the communications systems domain, where underlying system designs are often assumed to emanate from the normal distribution.

The proposal that the underlying distribution is from the complex elliptical class allows the practitioner to assume alternative underlying distributions to alleviate the restriction of normality. The building blocks of the contributions in this thesis are systematically described and motivated. The broaching of the complex elliptical class within the communications systems domain paves the way for future innovation and research on alternative fading models and their related engineering tools under an assumption other than that of normality. Key performance metrics are investigated under this complex elliptical assumption, and comparatively explored between members of the complex elliptical class.
 

Kindly note that this invitation is open to the public

 

  • Contact:  012 420 2523

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