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Driving innovations in manufacturing: Open Access research from DMEM

Strathprints makes available Open Access scholarly outputs by Strathclyde's Department of Design, Manufacture & Engineering Management (DMEM).

Centred on the vision of 'Delivering Total Engineering', DMEM is a centre for excellence in the processes, systems and technologies needed to support and enable engineering from concept to remanufacture. From user-centred design to sustainable design, from manufacturing operations to remanufacturing, from advanced materials research to systems engineering.

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A simulation study on the effects of some factors influencing the performance of a statistical procedure for distinguishing between soil samples

Wanogho, S. and Gettinby, G. and Caddy, B. and Robertson, J. (1984) A simulation study on the effects of some factors influencing the performance of a statistical procedure for distinguishing between soil samples. Journal of the Forensic Science Society, 24 (4). p. 362. ISSN 0015-7368

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Abstract

Soil studies are an important area of forensic transference problems. As yet no expedient and confident method exists for discriminating between soil samples from different sources. A simple statistical method is described which uses the results of laboratory measurements to characterise control soil samples. Using similarity probabilities the method successfully identifies the origin of soil samples chosen blindly from the control samples. The statistical algorithm also provides information on the discriminating power of the different soil variables measured in the laboratory.