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Statistical and image analysis methods and applications

This thesis comprises 51 papers and a book. It is divided into three sections: on statistical methodology, statistical applications and image analysis. Papers in the first section present new methodology on regression with serially correlated errors, computer-intensive inference and clustering methodology on regression with serially correlated errors, computer-intensive inference and clustering criteria. The second section comprises papers on a range of innovative applications of statistical methods. Papers are grouped by application into: combine harvesting, forage conservation, the modelling of climate, estimating and characterising soil properties, specifying and using the distribution of potato sizes and analysing ion channel data. The final section consists of a book and papers on image analysis. Methodology and applications in medical imaging, microscopy and electrophoresis are covered.

Identiferoai:union.ndltd.org:bl.uk/oai:ethos.bl.uk:651530
Date January 1995
CreatorsGlasbey, C. A.
PublisherUniversity of Edinburgh
Source SetsEthos UK
Detected LanguageEnglish
TypeElectronic Thesis or Dissertation
Sourcehttp://hdl.handle.net/1842/13915

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