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The assay of material is comprised of four fundamental tasks: modelling, design, measurement and interpretation. These may be arranged as in figure 6.1.1. The model of the sample must provide all available information pertinent to the design process. The sample model constitutes the input upon which the design analysis is performed. The optimization of an assay-system design is based on a measure of performance: an index which quantitatively evaluates the performance of a proposed design, in the face of defined spatial, statistical or other uncertainties. For a given definition of the assay problem, including precise statement of the uncertainties involved, the measure of performance enables rational selection of the assay-system design. Data interpretation is based on a decision rule whereby information about the sample is extracted from measurements obtained by the assay system. The past four Chapters have been devoted to a thorough study of design-optimization and data-interpretation.
KeywordsStatistical Uncertainty Design Algorithm Fisher Information Matrix Uranium Deposit Detector Position
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- See refs. [1.4] and [2.1] of Chapter 5. Also see Also see A. Wald, Sequential Analysis, John Wiley, 1947.Google Scholar
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