Design of experiments in regression models with correlated observations

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    Cardiff University
    United Kingdom
    Formal sciences


The design of experiments is an area of mathematical sciences which has direct economic impact. Optimal designs allow saving time, materials and other resources. New design methodologies are required due to growing complexity of real world problems, for example, technological changes in quality and quantity of measured data. The theory of the design of experiments involves statistical, optimization and simulation principles, various mathematical techniques and extensive computing.

The theory of statistical experimental design is an important link between the experimental and the modelling worlds. Designing experiments aims at extracting the maximal information from an experiment. Up to now the theory of experimental design mostly deals with uncorrelated observations. In most modern applications, however, the experimental observations are correlated. The whole philosophy of experimental design in this case becomes more complicated.

The project is interdisciplinary in nature and will include elements of theoretical probability and applied statistics.

What is funded

Self-funded students only

How to Apply

Applicants should submit an application for postgraduate study via the online application service http://www.cardiff.ac.uk/study/postgraduate/research/programmes/programm...

In the research proposal section of your application, please specify the project title and supervisors of this project and copy the project description in the text box provided.

In the funding section, please select the ’self -funding’ option.

We are interested in pursuing this project and welcome applications if you are self-funded or have funding from other sources, including government sponsorships or your employer.



The responsibility for the funding offers published on this website, including the funding description, lies entirely with the publishing institutions. The application is handled uniquely by the employer, who is also fully responsible for the recruitment and selection processes.